AI Medical Compendium

Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study.

JMIR mHealth and uHealth Mar 12, 2026

BACKGROUND: Single-leg squat (SLS) performance is widely used to screen functional movement quality, but practical assessment often relies on expert visual grading or laboratory-based motion capture. In addition, conventional SLS criteria mainly focu... read more

AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study.

JMIR formative research Mar 12, 2026

BACKGROUND: Mental health providers (MHPs) face a significant administrative burden from documentation, which can contribute to burnout and reduce time available for direct patient care. Although artificial intelligence (AI)-powered scribes have show... read more

Deep Learning-Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study.

JMIR aging Mar 12, 2026

BACKGROUND: Estimated pulmonary biological age (ePBA) has emerged as a more reliable indicator for disease progression and mortality than chronological age, with chest computed tomography (CT) as a promising tool for calculating ePBA. However, the la... read more

Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data.

JMIR aging Mar 12, 2026

BACKGROUND: The increasing use of smartphones among older adults offers new opportunities for social connection but may also pose risks associated with adverse mental health outcomes, including depression. OBJECTIVE: This study examined the relations... read more

Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes.

JMIR diabetes Mar 12, 2026

BACKGROUND: Digital health interventions, including artificial intelligence (AI)-driven solutions, offer promise for type 2 diabetes mellitus (T2DM) and prediabetes management through enhanced self-management, adherence, and personalization. However,... read more

Authors' Reply: Toward Retrieval-Grounded Evaluation for Conversational Large Language Model-Based Risk Assessment.

JMIR AI Mar 12, 2026

Voices of Innovation: Reflective Report on Integrating Artificial Intelligence-Simulated Mental Health Patient Scenarios Into Undergraduate Nursing Education in the United Arab Emirates.

JMIR medical education Mar 12, 2026

Limited clinical placements for mental health courses in the United Arab Emirates have made it difficult to provide consistent experiential learning for undergraduate nursing students. As a result, nurse educators are considering technology-enabled l... read more

Toward Retrieval-Grounded Evaluation for Conversational Large Language Model-Based Risk Assessment.

JMIR AI Mar 12, 2026

Early Electroclinical Phenotypes of Genetic Epilepsies Identified Through Unsupervised Machine Learning: AI in the House of Gastaut.

Neurology Mar 12, 2026

Predicting the Future of Aesthetic Surgery: An Artificial Intelligence Framework for Global Publication Forecasting.

Aesthetic surgery journal Mar 12, 2026

BACKGROUND: Artificial intelligence (AI) has transformed clinical decision making, yet its application to forecasting the evolution of surgical science remains underdeveloped. Anticipating future research trajectories represents a critical unmet need... read more

Artificial Intelligence Medical Compendium