Computer-Aided Diagnosis

Articles published in 2026 in this theme: 33 (scroll down to load remaining articles)

2026

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Eye-Tracking Technologies for Cognitive Assessment After Acquired Brain Injury: Systematic Review

Andrea Calderone, Rosaria De Luca, Francesco Corallo, Rosalia Calapai, Alessio Mirabile, Angelo Quartarone, Alessandro Marco De Nunzio, Carmela Casella, Rocco Salvatore Calabrò

JMIR Rehabil Assist Technol 2026 (Jun 02); 13:e81276

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AI in Lung Nodules on Chest CT: Retrospective, Real-World Assessment of AI in Clinical Practice

Heyel Sodhi-Kalra, Shivangi Jha, Subba Digumarthy

JMIR Form Res 2026 (May 28); 10:e86416

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An Explainable AI Tool (FibroX) for Detecting Advanced Liver Fibrosis in Adults With Type 2 Diabetes: Protocol for a Pilot Crossover Trial

Basile Njei, Ulrick Sidney Kanmounye

JMIR Res Protoc 2026 (May 21); 15:e90456

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Alignment Between Cardiologists and AI-Driven Diagnostic Systems: Mixed Methods Study

Mahdi Mahdavi, Sarah White, Sandeep S Hothi, Chris Flood, Rosica Panayotova, Daniel Frings

J Med Internet Res 2026 (May 20); 28:e83541

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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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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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Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study

Wensheng Sun, Jiahao Zou, Na Yin, Wenying Fang, Jimin Sun, Ziping Miao, Shigui Yang

JMIR Med Inform 2026 (May 07); 14:e77295

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Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study

Mark Iscoe, Huan Li, Haipeng Xue, Vimig Socrates, Aidan Gilson, Thomas Huang, Richard Andrew Taylor

JMIR AI 2026 (May 06); 5:e91148

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Real-World Performance of a New Online Eye Symptom Triage Tool (Eye+Dot) in an Emergency Eye Clinic: Mixed Methods Evaluation Study

Louise Allen, Jen O Lim, Fengyi Liu, Nimesha Alex

JMIR Hum Factors 2026 (Apr 14); 13:e81343

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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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Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study

Houwen Long, Feng Ying, Shi Wu, Long Li

JMIR Med Inform 2026 (Apr 07); 14:e73311

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Large Language Model–Powered Diagnostic Co-Pilot (“CapyEngine”) for Mental Disorders: Development, Evaluation, and Future Optimization Study

Liying Wang, Yunzhang Jiang

JMIR AI 2026 (Mar 24); 5:e70017

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The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review

Obada Almaabreh, Rukaya Al-Dafi, Aliya Tabassum, Ahmad Othman, Alaa Abd-alrazaq

J Med Internet Res 2026 (Mar 13); 28:e78377

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CT Radiomics–Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy Study

Fang-fang Cong, Ke Tian, Qian Gao, Fulin Wang, Peng Sun, Nan Xu

JMIR Med Inform 2026 (Mar 12); 14:e77349

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Enhancing Predictive Accuracy of Mood Symptoms Using Wearable Devices and Machine Learning in Bipolar Disorder

P Keerthana Nair, Priyanka Renita D'Souza

JMIR Med Inform 2026 (Mar 12); 14:e92172

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Using Epidemiological Test Diagnostics to Select Fraud Detection Methods: Secondary Analysis of Quantitative Cross-Sectional Survey Data

Rachel Willard-Grace, Tali Klima, Mansi Dedhia, Emily Lo, Annie Nisnevich, Allison Gray, Holly Henry

J Med Internet Res 2026 (Mar 05); 28:e85161

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Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study

Cyril Varghese, Jianwei Zhang, Sara Charney, Abdelmohaymin A Abdalla, Elizabeth Reeves, Stacy Holyfield, Adam E Brown, Michelle K Higgins, Hunter Stearns, Julie Liss, Nan Zhang, Diana Orbelo, Rebecca L Pittelko, Lindsay Rigelman, Victor Ortega, David G Lott, Visar Berisha

JMIR Form Res 2026 (Mar 04); 10:e86069

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Accuracy of Medical Image–Based Deep Learning for Detecting Microvascular Invasion in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis

Wei Feng, Bo Qu, Shuo Han

J Med Internet Res 2026 (Mar 02); 28:e82000

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Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial

Yibing Chen, Kai Hui Koh, Jin Wei Clarine Ho, Samantha Min Er Yew, Jocelyn Hui Lin Goh, Elaine Lum, Yih Chung Tham

JMIR Res Protoc 2026 (Mar 02); 15:e74164

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A Digital Tool for Assessing the Distinct Effects of Depression, Anxiety, and Attention-Deficit/Hyperactivity Disorder (ADHD) on Children’s Emotional Cognitive Bias: Cross-Sectional Study

Sang-Eon Park, Jisu Chung, Sang Ah Lee

J Med Internet Res 2026 (Feb 25); 28:e86286

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