Artificial Intelligence Medical Compendium

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

Showing 52,191 to 52,200 of 225,279 articles

Dynamic prediction of paroxysmal atrial fibrillation onset using longitudinal sample entropy in joint models.

BMC medical research methodology Feb 9, 2026
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with a five-fold increased risk of stroke. Early prediction of AF onset could improve care for at-risk patients. Existing predictive models often rely on cli... read more 

A hybrid CNN model for multi-class freshness and disease detection in local spinach varieties.

BMC plant biology Feb 9, 2026
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Unraveling key genes and mitochondrial-related mechanisms of atherosclerosis severity: explorations based on interpretable machine learning.

BMC cardiovascular disorders Feb 9, 2026
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Noninvasive preoperative risk stratification of prostate cancer via a foundational model based deep learning with PSMA PET/CT.

BMC cancer Feb 9, 2026
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Disability risk prediction models in community-dwelling older adults: a systematic review.

BMC geriatrics Feb 9, 2026
BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged as a critical public health priority. An increasing number of studies have focused on developing predictive models for disability risk among community-... read more 

Research on fall prediction in elderly patients with chronic diseases based on explainable machine learning: an aging perspective.

BMC geriatrics Feb 9, 2026
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Utility of gait biomarkers in screening for obstructive sleep apnea among patients with Parkinson's disease: a cross-sectional study.

BMC neurology Feb 9, 2026
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Artificial intelligence, robotics, and person-centered care in nursing and midwifery education: qualitative study to develop an augmented caring pedagogy model.

BMC medical education Feb 9, 2026
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Ultrasound-based attention-guided deep learning combined with radiomics to predict axillary lymph node metastasis in breast cancer.

BMC medical imaging Feb 9, 2026
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Development and validation of a machine learning stratified prediction model for early warning of anti-tuberculosis drug-induced liver injury risk based on real-world data: a retrospective cohort study.

BMC medical informatics and decision making Feb 9, 2026
OBJECTIVE: This study aimed to develop and validate stratified machine learning models for early prediction of anti-tuberculosis drug-induced liver injury (ATB-DILI) risk, targeting both a general tuberculosis (TB) treatment population and a high-ris... read more 
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