Computer-Aided Diagnosis

Articles published in 2026 in this theme: 22 (scroll down to load remaining articles)

2026

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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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AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review

Ander Cejudo, Markel Arrojo, Cristina Martín, Aitor Almeida

J Med Internet Res 2026 (Feb 23); 28:e86262

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Using AI Algorithms and Machine Learning in the Analysis of a Bio-Purification Method (Therapeutic Emesis, Known as “Vamana Karma”): Protocol for a Mixed Methods Study

Pooja Rani, Sumit Kalra, Sachin Singh, Richard David, Ashutosh Ravi Gupta, Anandaraman P V

JMIR Res Protoc 2026 (Feb 03); 15:e79875

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Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study

Shu-Tien Huang, Liong-Rung Liu, Ming-Feng Tsai, Ming-Yuan Huang, Hung-Wen Chiu

JMIR Med Inform 2026 (Jan 29); 14:e77965

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Multimodal Large Language Models for Cystoscopic Image Interpretation and Bladder Lesion Classification: Comparative Study

Yung-Chi Shih, Cheng-Yang Wu, Shi-Wei Huang, Chung-You Tsai

J Med Internet Res 2026 (Jan 28); 28:e87193

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Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study

Jia-Qian Yao, Wen-Wen Zhou, Zhi-Fei Chai, Fei Ren, Tong-Yi Huang, Tian-Tian Zhen, Hui-Juan Shi, Xiao-Yan Xie, Ze Zhao, Ming Xu

JMIR Med Inform 2026 (Jan 23); 14:e81181

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Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Lingjie Ju, Yongsheng Guo, Haiyong Guo, Ruijuan Liu, Yiyang Wang, Siyu Wang, Na Ma, Junhong Ren

J Med Internet Res 2026 (Jan 22); 28:e77092

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Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Luqman Lawal, Christopher Paton, Mike English, Bruno Holthof, Tabitha Preston

JMIR Res Protoc 2026 (Jan 20); 15:e82486

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The Diagnostic Value of Image-Based Machine Learning for Osteoporosis: Systematic Review and Meta-Analysis

Rui Zhao, Haolin Yang, Yangbo Li, Xiaoyun Li, Zhijie Yang, Yanping Lin, Jiachun Huang, Lei Wan, Hongxing Huang

J Med Internet Res 2026 (Jan 16); 28:e75965

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Prompting and Fine-Tuning Large Language Models for Parkinson Disease Diagnosis: Comparative Evaluation Study Using the PPMI Structured Dataset

Hyun-Ji Shin, Young Jin Jeong, Sungmin Jun, Do-Young Kang

JMIR Med Inform 2026 (Jan 15); 14:e77561

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Mild Cognitive Impairment Detection System Based on Unstructured Spontaneous Speech: Longitudinal Dual-Modal Framework

Yu-Shan Liao, Thiri Wai, Ting-Yun Liao, Ho-Ling Chang, Yu-Ling Chang, Li-Chen Fu

JMIR Med Inform 2026 (Jan 15); 14:e80883

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Accuracy of Deep Learning in Diagnosing Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis

Hui Yang, Yijiu Wu, Tong Wu, Jingyan Ji, Sitao Lei, Weibin Xu

J Med Internet Res 2026 (Jan 14); 28:e83459

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