Artificial Intelligence Medical Compendium

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

Showing 26,861 to 26,870 of 218,283 articles

Artificial intelligence for early detection of aortic stenosis: The emerging role of NPs.

The Nurse practitioner Apr 23, 2026
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Artificial intelligence for early detection of aortic stenosis: The emerging role of NPs.

The Nurse practitioner Apr 23, 2026
Aortic stenosis is associated with significant morbidity and mortality if left untreated. Nurse practitioners in primary care are uniquely positioned to identify early signs of this condition and are often the frontline provider for patients. Unfortu... read more 

Using Artificial Intelligence to Enhance Evidence Search and Synthesis.

The American journal of nursing Apr 23, 2026
Accelerating the path from research to practice. read more 

Open AI launches ChatGPT Health Amid Questions About Reliability.

The American journal of nursing Apr 23, 2026
How consumers will use the tool remains a concern. read more 

Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol.

Systematic reviews Apr 23, 2026
BACKGROUND: Deep learning (DL)-based artificial intelligence (AI) models, the fourth generation in autosegmentation, have been adopted both for commercial and research applications worldwide and have shown great promise as reliable and comprehensive ... read more 

SHAP-based interpretable machine learning with longitudinal delta-radiomics across seven weeks of treatment for xerostomia prediction in head-and-neck cancer.

Radiation oncology (London, England) Apr 23, 2026
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Unsupervised Agglomerative Cluster Phenotyping of Young Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Apr 23, 2026
BACKGROUND: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical and angiographic characteristics. We hypothesized that unsupervised machine learning (ML) can identify phenotypic clusters and predict the prognosis a... read more 

Understanding undergraduate nursing students' learning journeys with artificial intelligence: a journey mapping study.

BMC medical education Apr 23, 2026
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Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.

Genome biology Apr 23, 2026
High-throughput single-cell sequencing is widely used to study cell identity. We present SEAGALL (Single-cell Explainable Geometry-Aware Graph Attention Learning pipeLine), a deep learning method to quantify the impact of molecular features on cellul... read more 

A customised 3D U-Net model for bifid mandibular canal segmentation and detection on CBCT: a diagnostic accuracy study.

BMC oral health Apr 23, 2026
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