Artificial Intelligence Medical Compendium

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

Showing 43,051 to 43,060 of 223,853 articles

Population-level structural variant characterization using pangenome graphs.

Nature genetics Mar 10, 2026
Population-level structural variant (SV) profiling is crucial in the era of pangenomes. However, identifying SVs from genome assemblies and pangenome graphs remains a substantial challenge. Here we present Swave, a sequence-to-image, deep learning-ba... read more 

Impact of using artificial intelligence as a second reader in breast screening including arbitration.

Nature cancer Mar 10, 2026
The impact of incorporating artificial intelligence (AI) into a double-read breast-screening workflow, including arbitration, is unclear. This retrospective study included 50,000 representative women from two NHS breast-screening centers. All the wom... read more 

Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: the GEMINI study.

Nature cancer Mar 10, 2026
Artificial intelligence (AI) tools can improve breast screening performance but different screening sites have varying needs. Here the GEMINI prospective evaluation of 10,889 women, within one UK region, used both live AI integration and simulations ... read more 

Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies.

Nature cancer Mar 10, 2026
Artificial intelligence (AI) promises to enhance breast cancer screening. Here we evaluated Google's mammography AI system (version 1.2) across two phases: a retrospective study using 115,973 mammograms from five National Health Service screening ser... read more 

Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states.

Communications medicine Mar 10, 2026
BACKGROUND: Obesity is a major health concern linked to chronic conditions such as diabetes and cardiovascular disease. However, most neurological studies have focused on specific metabolic states, limiting understanding of how brain function changes... read more 

Meta learning optimized TabNet for small sample repeat prostate biopsy prediction.

Discover oncology Mar 10, 2026
PURPOSE: Repeat prostate biopsy prediction remains limited by small patient cohorts that constrain artificial intelligence application despite theoretical advantages in capturing complex clinical patterns. This study develops and validates a meta-lea... read more 

The Emory Knee Radiograph (MRKR) Dataset.

Journal of imaging informatics in medicine Mar 10, 2026
The Emory Knee Radiograph (MRKR) dataset is a large, demographically diverse collection of 503,261 knee radiographs from 83,011 patients, 40% of which are African American. This dataset provides imaging data in DICOM format along with detailed clinic... read more 

Diagnostic, predictive, and therapeutic approaches for impacted canines: a systematic review and meta-analysis.

BMC oral health Mar 10, 2026
OBJECTIVE: Maxillary canine impaction affects approximately 1-3% of the population and presents diagnostic, prognostic, and therapeutic challenges. The clinical utility of artificial intelligence (AI) in this context remains uncertain. We synthesized... read more 

AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep learning, and large language models on free-text ED records.

BMC emergency medicine Mar 10, 2026
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Assessing the effectiveness of artificial intelligence education and training for healthcare workers: a systematic review.

BMC medical education Mar 10, 2026
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