Applications of AI

Articles published in this theme: 396 (scroll down to load remaining articles)

2026

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AI Chatbot Answers for Drug Dosing Adjustments According to Renal Function in Geriatric Patients Using the New Scoring System (AI Quality Output Score): Cross-Sectional Study

Celine Barbonus, Ralf Sultzer, Thilo Bertsche

JMIR AI 2026 (Jun 05); 5:e87803

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Performance Evaluation of GPT-5, Grok 4, and DeepSeek R1 in Interpreting Complete Blood Count Reports for Hematologic Diseases: Retrospective Comparative Study

Xianfei Ye, Xinglun Qi, Lina Fan, Qian Yu, Suming Zhou, Chunyun Ren, Dagan Yang

J Med Internet Res 2026 (Jun 05); 28:e87802

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Physical Attractiveness and Chances of Being Invited to Interview With a Medical Residency Program: Retrospective Cohort Study

Daria Hunter, Luke Hunter, David Kerner, Aidan Mullan, Derek Vanmeter, Ivan Khapov, Alexander Finch, Sara Hevesi, Ivan Porter II, Colin West, James Homme

JMIR Med Educ 2026 (Jun 04); 12:e81052

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Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation

Nibras Soubh, Eva Rasenack, Helge Haarmann, Felix Wiedmann, Markus Zabel, Constanze Schmidt, Rayan Suliman, Leonard Bergau

J Med Internet Res 2026 (Jun 03); 28:e86692

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Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study

Xu Zhang, An Fang, Pei Lou, Kuanda Yao, Tianci Huang, Jiahui Hu

JMIR Med Inform 2026 (Jun 03); 14:e77872

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Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning–Based Two-Compartment Predictive Model: Development and Validation Study

Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi

JMIR AI 2026 (Jun 01); 5:e81103

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Estimating a Physiological Lung Function Score and Biological Sex Using Pulmonary Function Tests and Machine Learning: Retrospective Study

Patrick W Johnson, Zachary S Quicksall, Jieun Lee, Augustine S Lee, Kaiser G Lim, Victor E Ortega, Shivaram Poigai Arunachalam, Scott A Helgeson

JMIR AI 2026 (Jun 01); 5:e89060

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Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning

Amanda M Y Chu, Benson S Y Lam, Jenny T Y Tsang, Agnes Tiwari, Jacky N L Chan, Mike K P So

JMIR Biomed Eng 2026 (May 29); 11:e91138

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Early Depression Detection in Social Media: Monitoring of Individual Nighttime Dynamics and Large Language Model Analysis

Bicheng Yu, Zhichang Zhang, Lulu Ma, Jiongfu Cai, Yuanyuan Zhang

JMIR Infodemiology 2026 (May 29); 6:e87138

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Multimodal GPT-5 for Predicting Poor Functional Outcomes After Intracerebral Hemorrhage in the Emergency Department: Validation Study

Koutarou Matsumoto, Kazuaki Ishihara, Ryota Tamba, Yusuke Fujiyoshi, Koki Tokunaga, Katsuhiko Matsuda, Yasunobu Nohara, Jenhui Chen, Shigeo Yamashiro, Naoki Nakashima, Masahiro Kamouchi

JMIR AI 2026 (May 27); 5:e87062

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AI-Generated Avatar Videos for Postoperative Patient Education Among Health Care Workers: Pilot Randomized Controlled Trial

Syed Ali Haider, Srinivasagam Prabha, Cesar Abraham Gomez-Cabello, Ariana Genovese, Bernardo G Collaco, Nadia Wood, James London, Sanjay Bagaria, Mark A Lifson, Cui Tao, Antonio Jorge Forte

JMIR Perioper Med 2026 (May 27); 9:e89277

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Application of Sparse Autoencoders to Enhance Mechanistic Interpretability of Large Language Models in Medicine

Andre Metzger, Shiv Patil, Lauren R Sugarmann, Mert Karabacak, Konstantinos Margetis

JMIR AI 2026 (May 27); 5:e81134

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Exploring the Use of Artificial Intelligence and Wearable Technologies in the Context of Cardiovascular Prevention From Early Detection to Cardiac Recovery: Protocol for a Scoping Review

Jesús Spósito-Prado, Javier Pereira, Javier Roibal-Pravío

JMIR Res Protoc 2026 (May 26); 15:e89602

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Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study

Xiekun Chen, Zhifa Jiang, Dong Su, Xiaoping Chen, Aiping Chen, Zhen Zhang, Huabin Wang

JMIR Med Inform 2026 (May 25); 14:e85335

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Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach

Doyoung Kwak, Xi Tan, Yuanjie Liang, Caroline Swift, Chalak Muhammad, Xu Shi

JMIR Diabetes 2026 (May 20); 11:e85372

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Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial

Yansong Liu, Pramit Khetrapal, Ronnie Strafford, Adamos Hadjivasilou, Nikhil Vasdev, Philip Charlesworth, Muhamaad Shamim Khan, Ahmed Abdulaal, Zhaoyan Dong, James W F Catto, Yukun Zhou, John D Kelly, Ivana Drobnjak

JMIR AI 2026 (May 20); 5:e68994

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Large Language Models in Clinical Trial Recruitment: Sociotechnical and Economic Framework Development Study

Qian Qian

JMIR AI 2026 (May 20); 5:e95899

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AI-Enabled Digital Health Promotion and Prevention: Computational Literature Review

Mariana Girão Carrilho, Diego Costa Pinto, Rafael Wagner, Simoni F Rohden, Miguel Telo de Arriaga, Leonor Quelhas Pinto

JMIR AI 2026 (May 18); 5:e84492

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Evaluating Medical Students’ Perceptions of AI-Assisted Clinical Documentation (CarePilot): Cross-Sectional Study

Jonathan Bindi, Taylor Jamali, Talia Danze, Iza Zabaneh, Marisa Fat, Joseph Tutera, James Cox

JMIR AI 2026 (May 18); 5:e74198

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Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach

Moo-Kwon Chung, Hyo-Sang Lim, Sang Yup Lee, Hyo Seok Baek, Jinhee Lee, Kyoung Joung Lee, Taeksoo Shin, Min-Hyuk Kim, Sangwon Hwang, Erdenebayar Urtnasan, Ji Young Park, Dan Hee Kwon, Jin-kyung Lee

JMIR AI 2026 (May 15); 5:e69494

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