Artificial Intelligence Medical Compendium

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

Showing 30,721 to 30,730 of 220,177 articles

Multidisciplinary blinded randomized expert evaluation of large language models for clinical diagnosis and management.

Communications medicine
BACKGROUND: Direct clinical uses of large language models (LLMs) remain controversial, partly because of the lack of methodological rigor in assessing their risks and benefits in medicine. METHODS: We developed Medieval, a multidisciplinary, randomiz... read more 

Predicting post-stroke functional outcome using explainable machine learning and integrated data.

Scientific reports
Functional outcome after acute ischemic stroke (AIS) varies widely, and existing prognostic scores may not capture complex relationships. We evaluated a diverse set of clinical characteristics and blood biomarkers with multiple machine learning model... read more 

DRUMBEAT temporally resolved interpretable machine learning model for characterizing state transitions in protein dynamics.

Communications biology
Conformational transitions are central to protein function, yet their mechanistic analysis remains challenging due to the multi-dimensionality and timescales underlying the molecular motions. While interpretable network models such as Bayesian networ... read more 

AI-Generated Clinical Images of Head-and-Neck Lesions in Plastic Surgery Education: An Expert Evaluation.

Aesthetic plastic surgery
BACKGROUND: Clinical images are essential in plastic and reconstructive surgery education, particularly for understanding pathology, planning reconstructions, and preparing for board examinations. However, the use of real patient photographs raises e... read more 

Explainable clustering and ranking of student satisfaction in online learning: a hybrid FAHP-TOPSIS and SHAP-LIME approach.

Scientific reports
The rapid transition to online learning has intensified the need to understand the multifaceted drivers of student satisfaction in virtual education environments. Student satisfaction is a cornerstone of effective digital education, influencing acade... read more 

Seven deadly sins in artificial intelligence for digital medicine.

NPJ digital medicine
Artificial intelligence (AI) is increasingly embedded in clinical environments, raising questions of trust, fairness, empathy, and governance. The ethical terrain surrounding AI in medicine remains unstable despite its rapid adoption. We introduce th... read more