Artificial Intelligence Medical Compendium

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

Showing 44,081 to 44,090 of 224,055 articles

3D Spatiotemporal cardiac reconstruction for predicting MACE in acute myocardial infarction.

NPJ digital medicine
Artificial intelligence has made significant strides in predicting major adverse cardiovascular events (MACE) in patients with acute myocardial infarction (AMI) following percutaneous coronary intervention. However, most existing methods rely solely ... read more 

Policy-aware GPU resource allocation for national supercomputing.

Scientific reports
The rapid expansion of AI, large-scale simulation, and data-intensive research has increased demand for GPU resources in national supercomputing systems. However, allocation mechanisms in many centers remain primarily workload-driven, which may not f... read more 

Integration of radiomics, deep learning, transcriptomics, and metabolomics reveals prognostic risk stratification and underlying biological mechanisms in colorectal cancer.

NPJ precision oncology
Colorectal cancer (CRC) is the third most common malignancy and the second leading cause of cancer-related death worldwide, yet current prognostic stratification is hindered by tumor heterogeneity. Here, we developed a deep learning radiomics model (... read more 

AI-guided surgical decision support system for corneal laceration repair: a prospective, non-randomized controlled feasibility study.

Scientific reports
To evaluate the feasibility and application value of a transfer learning-based artificial intelligence (AI) system for wound recognition and suture position planning in patients with corneal lacerations. In this prospective, non-randomized controlled... read more 

Association between stress hyperglycemia ratio and all-cause mortality in neurocritical patients.

Scientific reports
Fluctuations in blood glucose during acute neurocritical illness are associated with poor outcomes, but the role of stress hyperglycemia ratio (SHR) in predicting outcomes across diverse neurocritical conditions remains unclear. This study evaluated ... read more 

Multilevel predictors of ultra-processed food intake in Canadian preschoolers.

Communications medicine
BACKGROUND: Ultra-processed foods (UPF) dominate modern food systems and contribute significantly to early-life diets. However, the multilevel predictors of UPF consumption in early childhood, from family factors to neighbourhood environments, remain... read more 

Mixture-of-Skip-Connection Deep Learning Model to Classify Stroke Severity from Diffusion Weighted Imaging Based on NIHSS.

Journal of imaging informatics in medicine
The National Institutes of Health Stroke Scale (NIHSS) is a quantitative tool, grading neurological deficits and guiding acute stroke management; however, bedside scoring is labor-intensive, time-consuming, and subject to interrater variability. This... read more