Applications of AI

Articles published in 2026 in this theme: 96 (scroll down to load remaining articles)

2026

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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

J Med Internet Res 2026 (Jan 26); 5(1):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

J Med Internet Res 2026 (Jan 26); 5(1):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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A Language Model for Pediatric Occupational Therapy Documentation: Model Development and Pilot Study

Rachel DiMaio, Tia Tuinstra, Trevor Yu, Ilona Koshy, Brendan Wylie-Toal, Bryan Tripp

JMIR AI 2026 (May 15); 5:e73274

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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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Multimodal Fusion of Echocardiogram Images and Electronic Medical Records for Heart Disease Screening: Retrospective Algorithm Development and Validation Study

Bokai Yang, Yirong Qin, Ye Li, Ruitao Xie, Limai Jiang, Juan He, Jikui Liu, Yunpeng Cai

JMIR Med Inform 2026 (May 14); 14:e78949

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Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician’s Tardive Inventory: Validation Study

Richard Trosch, Anthony Sterns, Bradley Grimm, Loren Larsen, Bretton Talbot, Fred Ma, Rakesh Ranjan, Carlene MacMillan, Joel Hughes, Joseph Friedman, Owen Muir

JMIR Ment Health 2026 (May 14); 13:e92197

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Leveraging Multimodal Large Language Models for Fall Risk Reduction in Older Adults in the Home: Proposed Model Design

Justin Do, Vivaswat Suresh, Lily Zhang, Bharvi M Chavre, Jeremy Cha, Robert Pugliese

JMIR Aging 2026 (May 13); 9:e77591

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Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation Using First-Trimester Sonographic Features

Shijin Xu, Yan Jiang, Qiaoyu Zhang, Qiao Xu, Qinxin Wang, Chang Zhou, Rong Liu, Yun Liu

JMIR Med Inform 2026 (May 13); 14:e84087

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