Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,931 to 1,940 of 213,633 articles

Effect of AI-assisted caries annotation on dental students' performance in caries detection on panoramic radiographs.

BMC medical education Jul 16, 2026
BACKGROUND: Dental caries remains one of the most prevalent oral diseases globally. The integration of artificial intelligence (AI) into dental radiographic interpretation, particularly for caries detection, has expanded rapidly. AI-assisted caries a... read more 

Aging-driven transcriptional programs in diabetic kidney disease: multi-omics discovery of diagnostic biomarkers and drug-repurposing targets.

Clinical epigenetics Jul 16, 2026
BACKGROUND: Diabetic kidney disease (DKD) is the primary global cause of end-stage renal disease. However, the aging-related gene networks driving its progression remain unclear. METHODS: In this study, we integrated bioinformatics and experiments to... read more 

Modeling symptom-acupoint interactions via a heterogeneous graph learning framework for intelligent acupoint recommendation.

Chinese medicine Jul 16, 2026
OBJECTIVE: Acupuncture prescriptions involve complex compatibility mechanisms grounded in multi-symptom and multi-acupoint interactions, embodying millennia of clinical experience. Despite growing interest in computational acupoint recommendations, s... read more 

Advanced Olfactory Cancer Detection: When E-Noses Sniff the Skin.

Journal of medical Internet research Jul 16, 2026
Cancer detection and diagnosis are rapidly moving beyond imaging and blood tests to even less invasive-and increasingly sophisticated-methods. In this News and Perspectives article, JMIR Correspondent Liam Critchley reports on recent advances in the ... read more 

Chain Collapse, Reduced Dielectric, and Water Release Drive Protein Phase Separation.

Biophysical journal Jul 16, 2026
Biomolecular condensates represent unique microenvironments that organize intracellular biology and promote biochemical reactions. However, the biomolecular interactions driving condensate phase separation are often weak, transient, and heterogeneous... read more 

AI-Assisted cardiomegaly screening via implicit morphological inference and human-in-the-loop validation.

Journal of X-ray science and technology Jul 16, 2026
Cardiomegaly screening via manual Cardiothoracic Ratio (CTR) measurement remains a clinical bottleneck, while contemporary deep learning solutions often suffer from algorithmic bloating. To address the need for resource-efficient and interpretable tr... read more 

AI-Simulated Patients for Training Shared Decision-Making: Feasibility Study in Medical Education.

JMIR medical education Jul 16, 2026
BACKGROUND: Shared decision-making (SDM) is a key element of patient-centered care; however, opportunities for structured and scalable SDM training remain limited in both medical education and clinical practice. Advances in AI have enabled chatbot-ba... read more 

AI Models Could Improve Diagnosis and Care for Rare Diseases.

Journal of medical Internet research Jul 16, 2026
Rare diseases are often critically underfunded, leaving many patients without timely diagnosis and treatment. In this News and Perspectives article, JMIR Correspondent Simon Spichak, who was a 2025 recipient of the National Press Foundation Rare Dise... read more 

A Guideline-Concordant Chatbot Framework for Structured Colorectal Cancer Screening: Multistage Feasibility Study.

Journal of medical Internet research Jul 16, 2026
BACKGROUND: Colorectal cancer (CRC) screening relies on structured risk assessment and guideline-concordant communication, which remain challenging to implement consistently in real-world practice. Digital tools based on large language models (LLMs) ... read more 

Charting a Course for AI in Medical Education.

Journal of medical Internet research Jul 16, 2026
AI is increasingly integrated-formally and informally-into medical education. In this News and Perspectives article, JMIR Correspondent Katie Cottingham reports on some of the considerations experts are raising around deploying AI in this context. read more 
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