A deep learning model for classification of chondroid tumors on CT images.

Tekijät: Gassert FG; Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA, 94143, USA.; Department of Radiology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Lang D; Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Department of Radiation Oncology, School of Medicine and Health, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Hesse N; Department of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany., Dürr HR; Orthopaedic Oncology, Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU Klinikum, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany., Klein A; Orthopaedic Oncology, Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU Klinikum, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany., Kohll L; Department of Radiology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Hinterwimmer F; Department of Orthopaedics and Sports Orthopaedics, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.; Institute for AI and Informatics in Medicine, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany., Luitjens J; Department of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany., Weissinger S; Department of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany., Peeken JC; Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Department of Radiation Oncology, School of Medicine and Health, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Mogler C; Department of Pathology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Knebel C; Department of Orthopaedics and Sports Orthopaedics, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Bartzsch S; Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Department of Radiation Oncology, School of Medicine and Health, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Gassert FT; Department of Radiology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany. florian.gassert@tum.de., Gersing AS; Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA, 94143, USA. alexandra.gersing@med.uni-muenchen.de.; Department of Neuroradiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany. alexandra.gersing@med.uni-muenchen.de.

Lähde: BMC cancer [BMC Cancer] 2025 Mar 28; Vol. 25 (1), pp. 561. Date of Electronic Publication: 2025 Mar 28.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE

MeSH-termit: Deep Learning* , Tomography, X-Ray Computed*/methods , Chondrosarcoma*/diagnostic imaging , Chondrosarcoma*/pathology , Chondrosarcoma*/classification , Chondroma*/diagnostic imaging , Chondroma*/pathology , Bone Neoplasms*/diagnostic imaging , Bone Neoplasms*/pathology , Bone Neoplasms*/classification, Humans ; Female ; Male ; Retrospective Studies ; Middle Aged ; Adult ; Aged ; Diagnosis, Differential

Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification.

Tekijät: Kumar Saha D; Department of CSE, Stamford University Bangladesh, Siddeswari, Dhaka, Bangladesh., Rafi S; Department of CSE, American International University-Bangladesh, Kuratoli, Dhaka, Bangladesh., Mridha MF; Department of CSE, American International University-Bangladesh, Kuratoli, Dhaka, Bangladesh. firoz.mridha@aiub.edu., Alfarhood S; Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia., Safran M; Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia. mejdl@ksu.edu.sa., Kabir MM; Division of Computer Science and Software Engineering, Mälardalens University, 722 20, Västerås, Sweden., Dey N; Department of CSE, Techno International New Town, New Town, West Bengal, India.

Lähde: BMC infectious diseases [BMC Infect Dis] 2025 Mar 25; Vol. 25 (1), pp. 403. Date of Electronic Publication: 2025 Mar 25.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE

MeSH-termit: Mpox, Monkeypox* , Deep Learning*, Humans ; Neural Networks, Computer ; Skin ; Artificial Intelligence ; Image Processing, Computer-Assisted/methods

Thyroid nodule classification in ultrasound imaging using deep transfer learning.

Tekijät: Xu Y; Department of Ultrasound, Zhejiang Rongjun Hospital, No.309 Shuangyuan Road, Jiaxing, 314001, China., Xu M; Department of Ultrasound, Zhejiang Rongjun Hospital, No.309 Shuangyuan Road, Jiaxing, 314001, China., Geng Z; Department of Ultrasound, Zhejiang Rongjun Hospital, No.309 Shuangyuan Road, Jiaxing, 314001, China., Liu J; Interventional Cancer Institute of Chinese Integrative Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China. liujie_w@sina.com.; Department of Clinical Center, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing, 314001, China. liujie_w@sina.com., Meng B; Department of Ultrasound, Zhejiang Rongjun Hospital, No.309 Shuangyuan Road, Jiaxing, 314001, China. netboysky@qq.com.

Lähde: BMC cancer [BMC Cancer] 2025 Mar 25; Vol. 25 (1), pp. 544. Date of Electronic Publication: 2025 Mar 25.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE

MeSH-termit: Thyroid Nodule*/diagnostic imaging , Thyroid Nodule*/pathology , Ultrasonography*/methods , Deep Learning*, Humans ; Retrospective Studies ; Male ; Female ; Middle Aged ; Support Vector Machine ; Adult ; Neural Networks, Computer ; Aged

Deep-ProBind: binding protein prediction with transformer-based deep learning model.

Tekijät: Khan S; Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, KPK, Pakistan., Noor S; Business and Management Sciences Department, Purdue University, West Lafayette, IN, USA., Awan HH; Department of Computer Science, Rawalpindi Women University, Rawalpindi, 46300, Punjab, Pakistan., Iqbal S; School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, UK., AlQahtani SA; New Emerging Technologies and 5g Network and Beyond Research Chair, Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia., Dilshad N; Department of Computer Science & Engineering, Sejong University, Seoul, 05006, South Korea., Ahmad N; Department of Computer Science, Khurasan University, Jalalabad, Afghanistan. Nijad@khurasan.edu.af.

Lähde: BMC bioinformatics [BMC Bioinformatics] 2025 Mar 22; Vol. 26 (1), pp. 88. Date of Electronic Publication: 2025 Mar 22.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

MeSH-termit: Deep Learning*, Binding Sites ; Algorithms ; Proteins/chemistry ; Proteins/metabolism ; Protein Binding ; Computational Biology/methods ; Databases, Protein ; Neural Networks, Computer ; Peptides/chemistry ; Peptides/metabolism

Denoised recurrence label-based deep learning for prediction of postoperative recurrence risk and sorafenib response in HCC.

Tekijät: Li Y; Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China., Xiong J; Department of Pathology, Huashan Hospital, Fudan University, Shanghai, 200040, China., Hu Z; Department of Hepatobiliary and Pancreatic Surgery, Minhang Hospital, Fudan University, Shanghai, 201199, China., Chang Q; Department of Hepatobiliary and Pancreatic Surgery, Minhang Hospital, Fudan University, Shanghai, 201199, China., Ren N; Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, No. 170 XinSong Road, Minhang, Shanghai, 201199, China. ren.ning@zs-hospital.sh.cn.; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, No. 180 FengLin Road, Xuhui, Shanghai, 200032, China. ren.ning@zs-hospital.sh.cn., Zhong F; Intelligent Medicine Institute, Fudan University, No.131 DongAn Road, Xuhui, Shanghai, 200032, China. zonefan@163.com., Dong Q; Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer, Shanghai Municipal Health Commission, Minhang Hospital, Fudan University, No. 170 XinSong Road, Minhang, Shanghai, 201199, China. qzhdong@fudan.edu.cn., Liu L; Intelligent Medicine Institute, Fudan University, No.131 DongAn Road, Xuhui, Shanghai, 200032, China. liulei_sibs@163.com.

Lähde: BMC medicine [BMC Med] 2025 Mar 18; Vol. 23 (1), pp. 162. Date of Electronic Publication: 2025 Mar 18.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015 (Electronic) Linking ISSN: 17417015 NLM ISO Abbreviation: BMC Med Subsets: MEDLINE

MeSH-termit: Sorafenib*/therapeutic use , Carcinoma, Hepatocellular*/drug therapy , Carcinoma, Hepatocellular*/surgery , Deep Learning* , Liver Neoplasms*/drug therapy , Liver Neoplasms*/surgery , Neoplasm Recurrence, Local* , Antineoplastic Agents*/therapeutic use, Humans ; Male ; Female ; Middle Aged ; Prognosis ; Aged ; Treatment Outcome ; Survival Analysis ; Risk Assessment

Deep learning based on intratumoral heterogeneity predicts histopathologic grade of hepatocellular carcinoma.

Tekijät: Song S; The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China., Zhang G; Faculty of Hepatopancreatobiliary Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.; Key Laboratory of Digital Hepatobiliary Surgery, Chinese PLA General Hospital, Beijing, 100853, China., Yao Z; Faculty of Hepatopancreatobiliary Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.; Department of Hepatobiliary Surgery, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, 100048, China., Chen R; The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China., Liu K; Faculty of Hepatopancreatobiliary Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China., Zhang T; The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China., Zeng G; Faculty of Hepatopancreatobiliary Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.; Nankai University School of Medicine, Nankai University, Tianjin, 300071, China., Wang Z; Department of Hepatobiliary Surgery, Senior Department of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100039, China. wzzh301@163.com., Liu R; The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China. liurong301@126.com.; Faculty of Hepatopancreatobiliary Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. liurong301@126.com.

Lähde: BMC cancer [BMC Cancer] 2025 Mar 18; Vol. 25 (1), pp. 497. Date of Electronic Publication: 2025 Mar 18.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE

MeSH-termit: Carcinoma, Hepatocellular*/pathology , Carcinoma, Hepatocellular*/diagnostic imaging , Carcinoma, Hepatocellular*/mortality , Deep Learning* , Liver Neoplasms*/pathology , Liver Neoplasms*/diagnostic imaging , Neoplasm Grading* , Magnetic Resonance Imaging*/methods, Humans ; Female ; Male ; Middle Aged ; Aged ; Prognosis ; Adult

Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients.

Tekijät: Cao P; Department of Radiation Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China., Jia X; School of Control Science and Engineering, Shandong University, Jinan, China., Wang X; Department of Radiation Oncology, Stanford University, Palo Alto, 94305, USA., Fan L; Department of Radiation Oncology, Qilu Hospital of Shandong University, Jinan, 250021, China., Chen Z; Department of Radiation Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China., Zhao Y; Department of Radiation Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China., Zhu J; Department of Radiation Physics and Technology, Shandong Cancer Hospital and Institute, Jinan, 250021, China., Wen Q; Department of Radiation Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China. wq890425@126.com.

Lähde: BMC cancer [BMC Cancer] 2025 Mar 12; Vol. 25 (1), pp. 443. Date of Electronic Publication: 2025 Mar 12.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE

MeSH-termit: Deep Learning* , ErbB Receptors*/genetics , Brain Neoplasms*/genetics , Brain Neoplasms*/secondary , Brain Neoplasms*/diagnostic imaging , Magnetic Resonance Imaging*/methods , Mutation* , Lung Neoplasms*/genetics , Lung Neoplasms*/diagnostic imaging , Lung Neoplasms*/pathology , Adenocarcinoma of Lung*/genetics , Adenocarcinoma of Lung*/diagnostic imaging , Adenocarcinoma of Lung*/pathology, Humans ; Female ; Male ; Middle Aged ; Retrospective Studies ; Aged ; Adult ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging ; Carcinoma, Non-Small-Cell Lung/pathology ; ROC Curve ; Radiomics

RBPsuite 2.0: an updated RNA-protein binding site prediction suite with high coverage on species and proteins based on deep learning.

Tekijät: Pan X; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China. 2008xypan@sjtu.edu.cn., Fang Y; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China., Liu X; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China., Guo X; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China., Shen HB; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China. hbshen@sjtu.edu.cn.

Lähde: BMC biology [BMC Biol] 2025 Mar 11; Vol. 23 (1), pp. 74. Date of Electronic Publication: 2025 Mar 11.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 101190720 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7007 (Electronic) Linking ISSN: 17417007 NLM ISO Abbreviation: BMC Biol Subsets: MEDLINE

MeSH-termit: Deep Learning* , RNA-Binding Proteins*/metabolism , RNA-Binding Proteins*/chemistry , RNA-Binding Proteins*/genetics, Binding Sites ; Software ; RNA/metabolism ; RNA/chemistry ; Humans ; Computational Biology/methods ; Animals

Development and validation of computer-aided detection for colorectal neoplasms using deep learning incorporated with computed tomography colonography.

Tekijät: Endo S; Department of Coloproctology, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu City, Japan. endoswing@gmail.com., Nagata K; Department of Gastroenterology, Fukushima Medical University, Fukushima City, Japan., Utano K; Department of Radiology, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu City, Japan., Nozu S; Department of Diagnostic Radiology, Saitama Prefectual Cancer Center, Ina-machi, Japan., Yasuda T; Department of Radiology, Nagasaki Kamigoto Hospital, Shin Kamigoto-cho, Nagasaki, Japan., Takabayashi K; Department of Radiology, Tonan Hospital, Sapporo City, Japan., Hirayama M; Department of Gastroenterology, Tonan Hospital, Sapporo City, Japan., Togashi K; Department of Coloproctology, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu City, Japan., Ohira H; Department of Gastroenterology, Fukushima Medical University, Fukushima City, Japan.

Lähde: BMC gastroenterology [BMC Gastroenterol] 2025 Mar 08; Vol. 25 (1), pp. 149. Date of Electronic Publication: 2025 Mar 08.

Julkaisutyyppi: Journal Article; Validation Study; Multicenter Study

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100968547 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-230X (Electronic) Linking ISSN: 1471230X NLM ISO Abbreviation: BMC Gastroenterol Subsets: MEDLINE

MeSH-termit: Deep Learning* , Colorectal Neoplasms*/diagnostic imaging , Colorectal Neoplasms*/pathology , Colonography, Computed Tomographic*/methods , Sensitivity and Specificity*, Humans ; Female ; Male ; Middle Aged ; Diagnosis, Computer-Assisted/methods ; Aged ; Algorithms ; Early Detection of Cancer/methods

Prediction of tumor spread through air spaces with an automatic segmentation deep learning model in peripheral stage I lung adenocarcinoma.

Tekijät: Liu C; Department of Minimally Invasive Oncology, Xuzhou New Health Geriatric Hospital, Xuzhou, People's Republic of China., Wang YF; Departments of Nuclear Medicine, The Xuzhou Hospital Affiliated to Jiangsu University, Xuzhou Cancer Hospital, Xuzhou, People's Republic of China., Gong P; School of Medical Imaging, Xuzhou Medical University, Xuzhou, People's Republic of China. gongping@xzhmu.edu.cn., Xue XQ; Department of Nuclear Medicine, The First People's Hospital of Yancheng, Yancheng, People's Republic of China., Zhao HY; Department of Radiotherapy, The Xuzhou Hospital Affiliated to Jiangsu University, Xuzhou Cancer Hospital, Xuzhou, People's Republic of China., Qian H; Medical College of Jiangsu University, Zhenjiang, People's Republic of China. 1stmmm1st@163.com., Jia C; Department of Radiology, The Xuzhou Hospital Affiliated to Jiangsu University, Xuzhou Cancer Hospital, Xuzhou, People's Republic of China., Li XF; Department of Radiology, The Xuzhou Hospital Affiliated to Jiangsu University, Xuzhou Cancer Hospital, Xuzhou, People's Republic of China. lxf5818@163.com.

Lähde: Respiratory research [Respir Res] 2025 Mar 08; Vol. 26 (1), pp. 94. Date of Electronic Publication: 2025 Mar 08.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 101090633 Publication Model: Electronic Cited Medium: Internet ISSN: 1465-993X (Electronic) Linking ISSN: 14659921 NLM ISO Abbreviation: Respir Res Subsets: MEDLINE

MeSH-termit: Deep Learning* , Adenocarcinoma of Lung*/surgery , Adenocarcinoma of Lung*/diagnostic imaging , Adenocarcinoma of Lung*/pathology , Lung Neoplasms*/surgery , Lung Neoplasms*/diagnostic imaging , Lung Neoplasms*/pathology , Neoplasm Staging*/methods, Humans ; Retrospective Studies ; Male ; Female ; Middle Aged ; Aged ; Predictive Value of Tests ; Neoplasm Invasiveness

Deep learning-based classification of dementia using image representation of subcortical signals.

Tekijät: Ranjan S; Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Tripathi A; Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Shende H; Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Badal R; Department of RS and BK, All India Institute of Ayurveda Delhi, New Delhi, India., Kumar A; Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Yadav P; Department of RS and BK, All India Institute of Ayurveda Delhi, New Delhi, India., Joshi D; Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Kumar L; Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India. lkumar@ee.iitd.ac.in.; Bharti School of Telecommunication and Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India. lkumar@ee.iitd.ac.in.

Lähde: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Mar 06; Vol. 25 (1), pp. 113. Date of Electronic Publication: 2025 Mar 06.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

MeSH-termit: Deep Learning* , Electroencephalography*/methods, Humans ; Aged ; Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/classification ; Dementia/classification ; Dementia/diagnostic imaging ; Frontotemporal Dementia/diagnostic imaging ; Frontotemporal Dementia/classification ; Frontotemporal Dementia/physiopathology ; Female ; Middle Aged ; Male ; Cognitive Dysfunction/classification ; Cognitive Dysfunction/diagnostic imaging ; Cognitive Dysfunction/diagnosis ; Brain/diagnostic imaging ; Brain/physiopathology ; Hippocampus/diagnostic imaging ; Hippocampus/physiopathology ; Amygdala/diagnostic imaging ; Amygdala/physiopathology

Sugarcane leaf disease classification using deep neural network approach.

Tekijät: Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Prabin SM; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, 466114, India., Kulandaivelu S; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Shah MA; Department of Economics, Kardan University, Parwane Du, Kabul, 1001, Afghanistan. m.asif@kardan.edu.af.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. m.asif@kardan.edu.af.; Chitkara Centre for Research and Development, Chitkara University, Baddi, Himachal Pradesh, 174103, India. m.asif@kardan.edu.af.; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India. m.asif@kardan.edu.af.

Lähde: BMC plant biology [BMC Plant Biol] 2025 Mar 04; Vol. 25 (1), pp. 282. Date of Electronic Publication: 2025 Mar 04.

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE

MeSH-termit: Saccharum* , Plant Leaves* , Neural Networks, Computer* , Deep Learning* , Plant Diseases*

Development of a deep learning radiomics model combining lumbar CT, multi-sequence MRI, and clinical data to predict high-risk cage subsidence after lumbar fusion: a retrospective multicenter study.

Tekijät: Zou C; Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, 5 JingYuan Road, Shijingshan District, Beijing, 100043, China., Chen R; Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, 5 JingYuan Road, Shijingshan District, Beijing, 100043, China., Wang B; Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, 5 JingYuan Road, Shijingshan District, Beijing, 100043, China., Fei Q; Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No 95, Yong'an Road, Xicheng District, Beijing, 100050, China., Song H; Department of Orthopedics, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China., Zang L; Department of Orthopedic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gong Ti Nan Lu, Chaoyang District, Beijing, 100020, China. zanglei@ccmu.edu.cn.; Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, 5 JingYuan Road, Shijingshan District, Beijing, 100043, China. zanglei@ccmu.edu.cn.

Lähde: Biomedical engineering online [Biomed Eng Online] 2025 Mar 02; Vol. 24 (1), pp. 27. Date of Electronic Publication: 2025 Mar 02.

Julkaisutyyppi: Journal Article; Multicenter Study

Lehden tiedot: Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X (Electronic) Linking ISSN: 1475925X NLM ISO Abbreviation: Biomed Eng Online Subsets: MEDLINE

MeSH-termit: Deep Learning* , Spinal Fusion* , Magnetic Resonance Imaging* , Lumbar Vertebrae*/diagnostic imaging , Lumbar Vertebrae*/surgery , Tomography, X-Ray Computed*, Humans ; Male ; Retrospective Studies ; Female ; Middle Aged ; Aged ; Image Processing, Computer-Assisted ; Adult ; Radiomics

Beyond the Greater Angkor Region: Automatic large-scale mapping of Angkorian-period reservoirs in satellite imagery using deep learning.

Tekijät: Landauer J; Landauer Research, Ludwigsburg, Germany., Klassen S; Archaeology Centre, University of Toronto, Toronto, Ontario, Canada.; Institute of Behavioral Science, University of Colorado Boulder, Boulder, Colorado, United States of America., Wijker AP; École française d'Extrême-Orient (EFEO), Université Paris I Panthéon-Sorbonne, Paris, France., van der Kroon J; Faculty of Archaeology, Leiden University, Leiden, Netherlands., Jaszkowski A; Landauer Research, Ludwigsburg, Germany., Verschoof-van der Vaart WB; Faculty of Archaeology, Leiden University, Leiden, Netherlands.

Lähde: PloS one [PLoS One] 2025 Mar 26; Vol. 20 (3), pp. e0320452. Date of Electronic Publication: 2025 Mar 26 (Print Publication: 2025).

Julkaisutyyppi: Journal Article; Historical Article

Lehden tiedot: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-termit: Deep Learning* , Satellite Imagery*/methods , Archaeology*/methods, Humans ; Cambodia

Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.

Tekijät: Vazquez B; Unidad Académica del Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas del Estado de Yucatán, Universidad Nacional Autónoma de México, Mérida, Yucatán, Mexico., Hevia-Montiel N; Unidad Académica del Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas del Estado de Yucatán, Universidad Nacional Autónoma de México, Mérida, Yucatán, Mexico., Perez-Gonzalez J; Unidad Académica del Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas del Estado de Yucatán, Universidad Nacional Autónoma de México, Mérida, Yucatán, Mexico., Haro P; Instituto de Investigaciones en Ciencias Veterinarias, Universidad Autónoma de Baja California, Mexicali, Baja California, Mexico.

Lähde: PloS one [PLoS One] 2025 Mar 24; Vol. 20 (3), pp. e0315843. Date of Electronic Publication: 2025 Mar 24 (Print Publication: 2025).

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-termit: Deep Learning* , Chagas Disease*/parasitology , Chagas Disease*/diagnosis , Trypanosoma cruzi*/isolation & purification, Animals ; Mice ; Electrocardiography ; Echocardiography/methods ; Disease Models, Animal ; Humans

Unveiling CNS cell morphology with deep learning: A gateway to anti-inflammatory compound screening.

Tekijät: Bahng H; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea., Oh JP; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea., Lee S; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea., Yu J; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea., Bae J; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea., Kim EJ; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea., Bae SH; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea., Lee JH; Research Center, DR. NOAH BIOTECH Inc., 91, Changnyong-daero 256beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do , Republic of Korea.

Lähde: PloS one [PLoS One] 2025 Mar 21; Vol. 20 (3), pp. e0320204. Date of Electronic Publication: 2025 Mar 21 (Print Publication: 2025).

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-termit: Deep Learning* , Anti-Inflammatory Agents*/pharmacology , Microglia*/drug effects , Microglia*/pathology , Neurons*/drug effects , Neurons*/pathology, Animals ; Neuroinflammatory Diseases/pathology ; Central Nervous System/pathology ; Central Nervous System/drug effects ; Humans ; Mice ; Drug Evaluation, Preclinical/methods

Optimizing deep learning models for glaucoma screening with vision transformers for resource efficiency and the pie augmentation method.

Tekijät: Sangchocanonta S; Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em), Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani, Thailand., Pooprasert P; Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em), Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani, Thailand., Lerthirunvibul N; Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em), Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani, Thailand., Patchimnan K; Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em), Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani, Thailand., Phienphanich P; Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em), Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani, Thailand., Munthuli A; Center of Excellence in Glaucoma, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand., Puangarom S; Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em), Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani, Thailand., Itthipanichpong R; Center of Excellence in Glaucoma, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.; King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand., Ratanawongphaibul K; Center of Excellence in Glaucoma, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.; King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand., Chansangpetch S; Center of Excellence in Glaucoma, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.; King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand., Manassakorn A; Center of Excellence in Glaucoma, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.; King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand., Tantisevi V; Center of Excellence in Glaucoma, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.; King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand., Rojanapongpun P; Center of Excellence in Glaucoma, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.; King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand., Tantibundhit C; Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em), Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani, Thailand.

Lähde: PloS one [PLoS One] 2025 Mar 21; Vol. 20 (3), pp. e0314111. Date of Electronic Publication: 2025 Mar 21 (Print Publication: 2025).

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-termit: Deep Learning* , Glaucoma*/diagnosis, Humans ; Neural Networks, Computer

Extreme heat prediction through deep learning and explainable AI.

Tekijät: Shafiq F; Department of Computer Science, University of Engineering and Technology, Lahore, Punjab, Pakistan., Zafar A; Department of Computer Science, University of Engineering and Technology, Lahore, Punjab, Pakistan., Ghani Khan MU; Department of Computer Science, University of Engineering and Technology, Lahore, Punjab, Pakistan., Iqbal S; Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia., Albesher AS; Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia., Asghar MN; Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia.

Lähde: PloS one [PLoS One] 2025 Mar 20; Vol. 20 (3), pp. e0316367. Date of Electronic Publication: 2025 Mar 20 (Print Publication: 2025).

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-termit: Deep Learning* , Neural Networks, Computer*, Extreme Heat/adverse effects ; Forecasting/methods ; Weather ; Humans ; Pakistan ; Artificial Intelligence

Uncovering water conservation patterns in semi-arid regions through hydrological simulation and deep learning.

Tekijät: Zhang R; School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang, China.; Hebei Collaborative Innovation Center for Aerospace Remote Sensing Information Processing and Application, Langfang, China., Zhao Q; School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang, China.; Hebei Collaborative Innovation Center for Aerospace Remote Sensing Information Processing and Application, Langfang, China., Liu M; Hebei Airer Industrial Internet Technology Co., Langfang, China., Miao S; Langfang Digital Space Technology Co., Langfang, China., Xin D; School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang, China.; Hebei Collaborative Innovation Center for Aerospace Remote Sensing Information Processing and Application, Langfang, China.

Lähde: PloS one [PLoS One] 2025 Mar 20; Vol. 20 (3), pp. e0319540. Date of Electronic Publication: 2025 Mar 20 (Print Publication: 2025).

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-termit: Deep Learning* , Hydrology* , Conservation of Water Resources*/methods, Ecosystem ; Climate Change ; Droughts ; Desert Climate ; Conservation of Natural Resources/methods ; Spatio-Temporal Analysis ; Computer Simulation

Classification of pulmonary diseases from chest radiographs using deep transfer learning.

Tekijät: Shamas M; Department of Computer Science, Lahore College for Women University, Lahore, Pakistan., Tauseef H; Department of Computer Science, Lahore College for Women University, Lahore, Pakistan., Ahmad A; Department of Computer Science, MY University, Islamabad, Pakistan., Raza A; Department of Computer Science, MY University, Islamabad, Pakistan., Ghadi YY; Department of Computer Science, Al Ain University, Abu Dhabi, United Arab Emirates., Mamyrbayev O; Institute of Information and Computational Technologies, Almaty, Kazakhstan., Momynzhanova K; Institute of Information and Computational Technologies, Almaty, Kazakhstan., Alahmadi TJ; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

Lähde: PloS one [PLoS One] 2025 Mar 17; Vol. 20 (3), pp. e0316929. Date of Electronic Publication: 2025 Mar 17 (Print Publication: 2025).

Julkaisutyyppi: Journal Article

Lehden tiedot: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-termit: Deep Learning* , Lung Diseases*/diagnostic imaging , Radiography, Thoracic*/methods , Neural Networks, Computer*, Humans ; Male ; Female ; Middle Aged ; Sensitivity and Specificity