New Technologies

The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners

Natasha Lee Jørgensen, Camilla Hoffmann Merrild, Martin Bach Jensen, Thomas B Moeslund, Kristian Kidholm, Janus Laust Thomsen

JMIR Med Inform 2025 (Mar 12); 13:e63895

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Applying Robotic Process Automation to Monitor Business Processes in Hospital Information Systems: Mixed Method Approach

Adam Park, Se Young Jung, Ilha Yune, Ho-Young Lee

JMIR Med Inform 2025 (Mar 07); 13:e59801

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Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Yukiko Ohno, Tohru Aomori, Tomohiro Nishiyama, Riri Kato, Reina Fujiki, Haruki Ishikawa, Keisuke Kiyomiya, Minae Isawa, Mayumi Mochizuki, Eiji Aramaki, Hisakazu Ohtani

JMIR Med Inform 2025 (Mar 04); 13:e68863

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Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study

Qiming Shi, Katherine Luzuriaga, Jeroan J Allison, Asil Oztekin, Jamie M Faro, Joy L Lee, Nathaniel Hafer, Margaret McManus, Adrian H Zai

JMIR Med Inform 2025 (Feb 13); 13:e68139

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Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study

Qian Xu, Xue Cai, Ruicong Yu, Yueyue Zheng, Guanjie Chen, Hui Sun, Tianyun Gao, Cuirong Xu, Jing Sun

JMIR Med Inform 2025 (Jan 31); 13:e64972

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Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint

Stanislas Demuth, Jérôme De Sèze, Gilles Edan, Tjalf Ziemssen, Françoise Simon, Pierre-Antoine Gourraud

JMIR Med Inform 2025 (Jan 28); 13:e53542

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Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study

Nicholas C Cardamone, Mark Olfson, Timothy Schmutte, Lyle Ungar, Tony Liu, Sara W Cullen, Nathaniel J Williams, Steven C Marcus

JMIR Med Inform 2025 (Jan 21); 13:e65454

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The Willingness of Doctors to Adopt Artificial Intelligence–Driven Clinical Decision Support Systems at Different Hospitals in China: Fuzzy Set Qualitative Comparative Analysis of Survey Data

Zhongguang Yu, Ning Hu, Qiuyi Zhao, Xiang Hu, Cunbo Jia, Chunyu Zhang, Bing Liu, Yanping Li

J Med Internet Res 2025 (Jan 07); 27:e62768

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