Artificial Intelligence Medical Compendium

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

Showing 45,591 to 45,600 of 224,055 articles

Interpretable machine learning model for predicting the risk of dysphagia in patients after cardiac surgery.

BMC surgery Mar 2, 2026
BACKGROUND: Dysphagia is recognized as one of the most common severe complications following cardiac surgery, with the potential to result in adverse clinical outcomes, including aspiration pneumonia, malnutrition, and prolonged hospitalization. Earl... read more 

Risk stratification and data-driven phenotyping of peripherally inserted central catheter-related bloodstream infection: an explainable machine learning analysis of a large critical care cohort.

BMC medical informatics and decision making Mar 2, 2026
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Preoperative prediction of metachronous liver metastasis in colorectal cancer using a deep learning-based radiomics model with automatic segmentation: a multicenter study.

European journal of medical research Mar 2, 2026
OBJECTIVES: To develop and validate an integrated clinical-radiomics nomogram predicting the risk of metachronous liver metastasis (MLM) in patients with colorectal cancer (CRC). METHODS: In this multicenter retrospective study, 518 CRC patients unde... read more 

Artificial intelligence models: transforming early diagnosis and precise treatment of gastrointestinal cancers.

Molecular cancer Mar 2, 2026
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Temporal trends in myocardial ischemia risk estimated from 12-lead electrocardiograms using deep learning in individuals with suspected cancer during health checkups.

Cardio-oncology (London, England) Mar 2, 2026
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Multi-reader evaluation of deep learning-based auto-segmentation of eloquent brain arteriovenous malformation on MRA and white matter tractography in stereotactic radiosurgery.

Radiation oncology (London, England) Mar 2, 2026
OBJECTIVE: To minimize the radiation injury for white matter (WM) pathways during brain arteriovenous malformation (bAVM) stereotactic radiosurgery (SRS), the WM tractography is integrated into treatment planning to identify WM pathways and restrict ... read more 

Collision-free morgan fingerprints: a principled approach to enhance machine learning performance and interpretability in chemistry.

Journal of cheminformatics Mar 2, 2026
The success of machine learning in chemistry is fundamentally underpinned by the information fidelity of molecular representations. Despite their widespread adoption for efficiency and interpretability, Morgan fingerprints harbor a long-overlooked an... read more 

Feasibility of Implicit Neural Representation Learned Motion Compensation for 3D Stack-of-Spirals Free-Breathing Cardiac Quantitative Susceptibility Mapping.

Magnetic resonance in medicine Mar 2, 2026
PURPOSE: Differential blood oxygenation between the right and left heart (ΔSO2) is an indicator of cardiovascular function currently assessed in clinical practice by invasive right heart catheterization. Cardiac MRI can non-invasively quantify ΔSO2 w... read more 

Why high-performing psychiatric machine learning models often fail in real-world clinical settings?

Psychiatry and clinical neurosciences Mar 2, 2026
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Adolescents Experiencing Both Bullying and Childhood Trauma: Longitudinal Patterns, Psychosocial Networks, and Risk Prediction.

Journal of interpersonal violence Mar 2, 2026
Adolescents who experience both bullying at school and maltreatment within families are at heightened risk for psychological harm, yet little is known about how these dual adversities co-develop and influence psychosocial functioning over time. This ... read more 
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