Artificial Intelligence Medical Compendium

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

Showing 27,591 to 27,600 of 218,939 articles

Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.

Genome biology
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 

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
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 

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

Systematic reviews
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 

Reconstruction of Under-Sampled Images and Concurrent Optimization of Sampling Masks for 3D Carotid Simultaneous Non-Contrast Angiography and intraPlaque Hemorrhage MRI With Model Based Deep Learning Architecture (deepSNAP).

Magnetic resonance in medicine
PURPOSE: To improve the imaging efficiency of 3D carotid simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) MRI by reconstruction of under-sampled images and concurrent optimization of sampling masks for the two shots of SNAP resp... read more