Artificial Intelligence

Articles published in this theme: 2365 (scroll down to load remaining articles)

2026

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Time Savings Through an AI Speech Assistant for Nursing Documentation: Pre-Post Time-Motion Study in German Long-Term Care

Katja Schwabe, Drin Ferizaj, Susann Neumann, Sandra Strube-Lahmann, Nils Lahmann

J Med Internet Res 2026 (Apr 08); 28:e86078

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Machine Learning in Predicting the Risk of Esophagogastric Variceal Bleeding Among Patients With Liver Cirrhosis: Systematic Review and Meta-Analysis

Yuan Lian, Xinping Qiu, Geli Wang, Nannan Liu, Jing Zhao, Shanshan Song, Shiqi Wang, Mingjun Sun

J Med Internet Res 2026 (Apr 08); 28:e78203

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Exploring the Role of AI in Managing Treatment Recommendations for Lymphedema: International, Multidisciplinary, Multiprofessional Survey Study of Trust, Reliability, and Impact on Decision-Making

Adriano Fabi, Caroline E Egli, Séverin R Wendelspiess, Sebastian Griewing, Yvonne Haas, Laura De Pellegrin, Dirk J Schaefer, Shan S Qiu, Yves Harder, Elisabeth A Kappos

JMIR Med Inform 2026 (Apr 08); 14:e80553

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Feasibility and Acceptability of AI-Powered Tools for Early Autism Screening in Egypt: Semistructured Focus Group Study

Pratheepan Yogarajah, Ammal M Metwally, Priyanka Chaurasia, Ghada A Elshaarawy, Shereen M El Khateeb, Engy A Ashaat, Amal Elsaeid, Nahed A Elghareeb, Amira S ElRifay

J Med Internet Res 2026 (Apr 07); 28:e82564

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Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study

Danielle Hutchinson, Lauren Lee, Haley Stone, Aye Moa, Holly Seale, C Raina MacIntyre

Online J Public Health Inform 2026 (Apr 07); 18:e80824

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Initial Insights Into an Institutional Secure Large Language Model for Magnetic Resonance Imaging Examination Requests: Retrospective Study

James Thomas Patrick Decourcy Hallinan, Naomi Wenxin Leow, Yi Xian Low, Aric Lee, Wilson Ong, Matthew Ding Zhou Chan, Ganakirthana Kalpenya Devi, Stephanie Shengjie He, Daniel De-Liang Loh, Desmond Shi Wei Lim, Xi Zhen Low, Mei Chin Lim, Clement Yong, Weizhong Jonathan Sng, Ee Chin Teo, Jiong Hao Tan, Naresh Kumar, Andrew Makmur, Yonghan Ting

J Med Internet Res 2026 (Apr 07); 28:e82579

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Automated ICD-10–Anchored Classification of Primary Care Text Data: Development and Evaluation of a Custom Multilabel Classifier

Christina Haag, Thomas Grischott, Jakob M Burgstaller, Stefan Markun, Oliver Senn, Viktor von Wyl

JMIR Med Inform 2026 (Apr 06); 14:e86533

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Performance of DeepSeek V3, DeepSeek R1, ChatGPT 4o, and ChatGPT o1 on the National Health Professional and Technical Qualification Examination (Intermediate Level) in China: Comparative Analysis

Jipeng Xue, Shitong Wang, Jinan Yang, Xiaogang Guo, Jie Shen, Qiwen Wang

JMIR Form Res 2026 (Apr 06); 10:e90673

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It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety

Hamilton Morrin, Joshua Au Yeung, Zarinah Agnew, Søren Dinesen Østergaard, Thomas A Pollak

JMIR Ment Health 2026 (Apr 06); 13:e91454

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Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation

Chin-Lin Lee, Tzu-Hsuan Hsu, Yu-Te Wu, Wan-Yuo Guo, Woei-Chyn Chu, Chung-Yueh Lien

JMIR Med Inform 2026 (Apr 06); 14:e78300

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Exploring the Ethical and Practical Considerations of Artificial Intelligence in Real-World Health Care Settings: Stakeholder Focus Group Study

Carmen Wendy Ulizio, Devika Dua, Naya Meenkashi Mukul, Santosh Areti, Kristin Kostick-Quenet, Vasiliki Nataly Rahimzadeh

JMIR AI 2026 (Apr 02); 5:e85163

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Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review

Alberta MC Spreafico, Luca Neri, Kim Angel, Cinzia Maria Bellettato, Maurizio Scarpa

J Med Internet Res 2026 (Apr 02); 28:e73612

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Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis

Yujie Chen, Zhujing Ou, Yiting Deng, Anling Luo, Xuzi Li, Yujia Yang, Qin Yang, Xintong Wu, Muke Zhou

J Med Internet Res 2026 (Apr 02); 28:e83821

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Accuracy of Radiomics-Based Machine Learning for Predicting Risk of Recurrence in Non–Small Cell Lung Cancer: Systematic Review and Meta-Analysis

Junpei Wu, Ye Zhang, Jiaye Wang, Chengshui Chen, Shiyu Hu, Wenyu Chen

J Med Internet Res 2026 (Apr 02); 28:e84223

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Artificial Intelligence in Health Professions Education: Qualitative Study of Student Experiences

Marina Guirguis, Salomon Fotsing, Joanne Fevry, Christine Landry, Diane Bouchard-Lamothe, Jennifer Lacroix, Alireza Jalali

J Med Internet Res 2026 (Apr 02); 28:e82432

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Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach

Allison Diane Ihle, Breann Wicks, Vangelis Metsis, Autumn Starfall, Fleur Clapham, Aleksei Gorbachev, Sean Shanley, Christina Strauser, Jacqueline M McGrath

JMIR AI 2026 (Apr 01); 5:e84145

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Performance of Large Language Models vs Conventional Machine Learning for Predicting Clinical Outcomes With Limited Data: Comparative Study

Erwan Bigan, Stéphane Dufour

JMIR AI 2026 (Apr 01); 5:e83853

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Implementation, Acceptability, and Actions After Using an AI Workplace Health Kiosk in a Low-Resource Public School Workplace Setting: Cross-Sectional Pilot Study

Norvie Jalani, Jaybee Bazan, Jaime Kristoffer Punzalan

JMIR Form Res 2026 (Apr 01); 10:e87094

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Analysis Model for Infant Incubator Adverse Events Using Retrieval-Augmented Generation Combined With Dual-Adapter Fine-Tuning: Development and Evaluation Study

Wenke Xia, Wanting Zhu, Tianchun Li, Li Wang, Weiqi Li, Peiming Zhang

JMIR Med Inform 2026 (Mar 31); 14:e83745

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Artificial Intelligence Tools for Automating Evidence Synthesis: Scoping Review

Sashika Harasgama, Helen Pearce, Cameron Appel, Liam Loftus, Helena Painter, Isla Kuhn, Justine Karpusheff, Aji Ceesay, John Ford

J Med Internet Res 2026 (Mar 30); 28:e81597

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