AI Medical Compendium

Beyond binary diagnosis: Key questions on AI accuracy, real-world applicability, and safety in clinical decision support.

International journal of medical informatics Jan 17, 2026

This comment relates to Kücking et al.'s (2026) study on the bidirectional effects of artificial intelligence recommendations and healthcare provider related factors on the accuracy of wound impregnation diagnosis. While acknowledging the valuable co... read more

U2AD: Uncertainty-based unsupervised anomaly detection framework for detecting T2 hyperintensity in MRI spinal cord.

Medical image analysis Jan 17, 2026

T2 hyperintensities in spinal cord MR images are crucial biomarkers for conditions such as degenerative cervical myelopathy (DCM). However, current clinical diagnoses primarily rely on manual evaluation. Deep learning methods have shown promise in le... 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

Academic stress and university students' dependency on generative artificial intelligence: a multiple mediation model using PLS-SEM.

BMC psychology Jan 17, 2026

Deep learning-based multimodal pathogenomics integration for precision cancer prognosis.

Journal of translational medicine Jan 17, 2026

Lactylation-driven gene signatures define breast cancer prognosis: a predictive model and insights into immune microenvironment dynamics.

European journal of medical research Jan 17, 2026

BACKGROUND: Breast cancer is a leading cause of cancer-related mortality worldwide, with poor prognosis largely due to its invasive and metastatic nature. Tumor lactylation plays a crucial role in cancer progression by influencing immune modulation a... read more

A multi-method analysis of employee-driven green service innovation in hotels based on the ability-motivation-opportunity framework.

Scientific reports Jan 17, 2026

Against the backdrop of green transformation as a strategic priority in the hotel industry, the employee-driven mechanisms of green service innovation (GSI) remain insufficiently understood. Existing studies largely rely on linear pathways and fail t... read more

Artificial Intelligence Medical Compendium