Artificial Intelligence Medical Compendium

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

Showing 55,441 to 55,450 of 226,647 articles

Performance Evaluation of a Commercial Deep Learning Software for Detecting Intracranial Hemorrhage in a Pediatric Population.

Journal of imaging informatics in medicine Feb 2, 2026
This study evaluates a commercially available AI tool (Aidoc) for intracranial hemorrhage (ICH) detection-originally trained on adults-in pediatric patients, addressing the critical need for timely diagnosis and current research gaps in pediatric AI ... read more 

Systematic Review: Agentic AI in Neuroradiology: Technical Promise with Limited Clinical Evidence.

Journal of imaging informatics in medicine Feb 2, 2026
Agentic artificial intelligence systems featuring iterative reasoning, autonomous tool use, or multi-agent collaboration have been proposed as solutions to the limitations of large language models (LLMs) in neuroradiology. However, the extent of thei... read more 

Development and validation of a robust cuproptosis related signature for primary glioma via machine learning aided by loop training and validation.

Discover oncology Feb 2, 2026
BACKGROUND: Glioma is the most common malignant tumors in central nervous system with high mortality. Accurately predicting prognosis for patients with glioma still remains a challenge. Accumulated studies have found that cuproptosis-related genes em... read more 

Construction of immune related genes predictive models of elderly rectal cancer patients based on machine learning.

Discover oncology Feb 2, 2026
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Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches.

Behavioral sciences & the law Feb 2, 2026
As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains - which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burges... read more 

Contrastive learning in both structure and function spaces improve drug-target interaction prediction.

BMC bioinformatics Feb 2, 2026
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An interdisciplinary framework for artificial intelligence, precision medicine, and ethical governance in periodontal care: a systematic review - recent update.

BMC oral health Feb 2, 2026
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Benchmark evaluation of deepseek AI models in antibacterial clinical decision-making for infectious diseases.

BMC medical informatics and decision making Feb 2, 2026
BACKGROUND: Antimicrobial resistance (AMR) poses a global threat to public health, though AI models have shown transformative potential in combating AMR. China's DeepSeek, a novel open-source, low-cost, and locally deployable AI model, is increasingl... read more 

How accurately do large Language models interpret sport safeguarding principles: an evaluation using the International Olympic Committee framework.

BMC sports science, medicine & rehabilitation Feb 2, 2026
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Interpretable machine learning reveals phosphorus-to-albumin ratio as a novel predictor of mortality and acute kidney injury in critically ill pancreatitis patients: a multi-center retrospective analysis.

European journal of medical research Feb 2, 2026
Acute kidney injury (AKI), a common and severe complication of acute pancreatitis (AP), is amenable to early intervention. Phosphorus-to-albumin ratio (PAR) is a novel composite biomarker unexplored in AP largely. Data of ICU patients with AP were ex... read more 
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