Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 33,931 to 33,940 of 221,510 articles
Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation.
NPJ digital medicine
Apr 7, 2026
Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHA₂DS₂-VASc, offer limited predictive accuracy and fail to capture complex clinical patterns. To improve generaliz... read more
[Large language models as a communication and organizational infrastructure in urology: evidence, limitations, and clinical responsibility].
Urologie (Heidelberg, Germany)
Apr 7, 2026
Large language models (LLMs) mark a structural turning point in digital medicine, as they are now capable not only of processing medical information but of conveying it in ways that are context-sensitive, linguistically coherent, and tailored to the ... read more
Comment on "Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution".
Spine deformity
Apr 7, 2026
Comment on "Artificial intelligence automated measurements of spinopelvic parameters in adult spinal deformity a systematic review".
Spine deformity
Apr 7, 2026
Evaluation of artificial intelligence-generated vignettes depicting patient chatbot use in psychiatric contexts.
NPJ digital medicine
Apr 7, 2026
Chatbot-related mental health risks have attracted increasing public attention, yet educational case materials for clinicians remain limited. We evaluated ChatGPT-5 Pro's ability to generate psychiatric vignettes involving patient chatbot use. Three ... read more
Deep learning assessment of nativeness and pairing likelihood for antibody and nanobody design with AbNatiV2.
mAbs
Apr 7, 2026
Most immune-system created antibodies balance good binding and stability with low toxicity and self-reactivity. Quantifying the nativeness of a candidate sequence - its likelihood of belonging to natural immune repertoires - has thus emerged as a val... read more
Development and validation of a clinical nomogram for frailty prediction in older COPD patients: a machine learning approach.
BMC geriatrics
Apr 7, 2026
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