Artificial Intelligence Medical Compendium

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

Showing 1,551 to 1,560 of 163,957 articles

AI-enhanced recognition of occlusions in acute coronary syndrome (AERO-ACS): a retrospective study.

Coronary artery disease
BACKGROUND: Artificial intelligence (AI) augmentation of ECG assessment has significant potential to improve patient outcomes in acute coronary syndrome. read more 

Considerations on GPT-4o and Gemini Flash 2.0 in Acne/Rosacea.

International journal of dermatology
read more 

Robustness of steroidomics-based machine learning for diagnosis of primary aldosteronism: a laboratory medicine perspective.

Clinical chemistry and laboratory medicine
OBJECTIVES: Use of machine learning (ML) in diagnostics offers promise to optimise interpretation of laboratory data and guide clinical decision-making. For this, ML-based outputs should provide robustly reproducible results at least as good as the u... read more 

Advances and challenges in AI-assisted MRI for lumbar disc degeneration detection and classification.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: Intervertebral disc degeneration (IDD) is a major contributor to chronic low back pain. Magnetic resonance imaging (MRI) serves as the gold standard for IDD assessment, yet manual grading is often subjective and inconsistent. With advances i... read more 

Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design

arXiv
Traditional drug discovery relies on rounds of screening millions of candidate molecules with low success rates, making drug discovery time and resource intensive. To overcome this screening bottleneck, we introduce Latent-X, an all-atom protein de... read more 

Uncovering multimorbidity patterns linked to disability in aging populations: A machine learning analysis.

Geriatrics & gerontology international
AIM: Multimorbidity and disability are prevalent in older adults, yet the relationship between specific multimorbidity patterns and disability is poorly understood. This study aimed to identify clinically significant multimorbidity patterns in older ... read more 

Carotid and femoral bifurcation plaques detected by ultrasound as predictors of cardiovascular events.

VASA. Zeitschrift fur Gefasskrankheiten
Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population level but are often inaccurate at the individual level. Detecting preclinical atherosclerotic plaques in the carotid and common femoral arterial bifurcati... read more 

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

Stroke
BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health records remains challenging due to limitations in structured data. This often necessitates manual... read more