Artificial Intelligence Medical Compendium

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

Showing 60,411 to 60,420 of 228,072 articles

Association of depressive symptoms with systemic immune-inflammation index and platelet parameters among survivors of myocardial infarction: a cross-sectional NHANES study enhanced by machine learning and SHAP analysis.

BMC psychiatry Jan 17, 2026
BACKGROUND: Inflammation is implicated in the elevated risk of depressive disorder following myocardial infarction (MI), with platelets serving as a key link between thrombosis, inflammation, and depression. Although the systemic immune-inflammation ... read more 

Research on deep learning-based lesion identification in optical coherence tomography.

BMC ophthalmology Jan 17, 2026
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Intestinal transcriptomic analysis and prediction of biomarkers associated with mucosal healing following vedolizumab treatment in ulcerative colitis using machine learning.

BMC gastroenterology Jan 17, 2026
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Deep learning on meta-analytic data for therapeutic decision-making in central nervous system aspergillosis.

BMC infectious diseases Jan 17, 2026
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Approaches in analyzing predictors of trial failure: a scoping review and meta-epidemiological study.

BMC medical research methodology Jan 17, 2026
BACKGROUND: Although there are numerous studies exploring predictors of clinical trial failure, no comprehensive review of their methodological specificities and findings exists. We performed a scoping review with the aim of exploring the methodologi... read more 

Liver cancer risk stratification using deep learning on nationwide longitudinal health screening data: a retrospective cohort study.

BMC medical informatics and decision making Jan 17, 2026
BACKGROUND: Current liver cancer screening in Korea focuses on viral hepatitis or cirrhosis, despite rising risks from metabolic and alcohol-related liver disease. We aimed to develop a deep learning model that leverages routinely collected national ... read more 

Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations.

BMC health services research Jan 17, 2026
BACKGROUND: Artificial intelligence (AI) is receiving growing attention in psychiatric practice, yet psychiatrists vary considerably in how they perceive its benefits, risks, and clinical usefulness. Successful implementation depends not only on tech... read more 

Comparative performance evaluation of ChatGPT-4 Omni and Gemini Advanced in the Turkish Dentistry Specialization Exam.

BMC medical education Jan 17, 2026
BACKGROUND: In recent years, advancements in artificial intelligence (AI) have led to the widespread integration of large language models and their chatbot applications into various fields, including dental education. This study aimed to evaluate the... read more 

Evaluation of large language models in nutrition risk screening: a comparative analysis across 8 LLMs based on real-world EHR datasets.

BMC medical informatics and decision making Jan 17, 2026
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Academic stress and university students' dependency on generative artificial intelligence: a multiple mediation model using PLS-SEM.

BMC psychology Jan 17, 2026
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