Artificial Intelligence Medical Compendium

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

Showing 60,211 to 60,220 of 228,072 articles

Artificial intelligence for early diagnosis in emergency department.

Journal of anesthesia, analgesia and critical care
In recent years, artificial intelligence (AI) has become an increasingly prominent player in emergency medicine, offering innovative tools to enhance the early diagnosis of acute conditions. This systematic review explores how AI, particularly throug... read more 

Unveiling the relationship between stress-hyperglycemia ratio and cardiometabolic multimorbidity risk using interpretable machine learning.

European journal of medical research
BACKGROUND: Cardiometabolic multimorbidity (CMM) is the simultaneous manifestation of multiple cardiovascular and metabolic diseases, and it has arisen as a substantial worldwide healthcare issue. The stress-hyperglycemia ratio (SHR) represents a nov... read more 

Circulating inflammatory proteins predict dementia risk, are linked to structural brain changes and modifiable risk factors.

Alzheimer's research & therapy
INTRODUCTION: Systemic inflammation has been identified as a key factor in neurodegeneration but the value of circulating inflammatory proteins in dementia risk prediction and their causal role has not been elucidated. METHODS: We leveraged proteomic... read more 

MRI-based patient selection for active surveillance in prostate cancer using U-Found: a generalized deep learning model.

Cancer imaging : the official publication of the International Cancer Imaging Society
read more 

Effectiveness of Different Educational Approaches in Improving Comprehensive Clinical Competence Among Medical Students: A Systematic Review and Meta-Analysis.

Evaluation & the health professions
Active, student-centred teaching strategies are increasingly being adopted to bridge the gap between biomedical knowledge and clinical performance in health-profession education. This systematic review and meta-analysis aims to evaluate the comparati... read more 

Uniform Design-Embedded Predictions of (Tetra-)Peptide Physicochemical Properties.

Bioinformatics (Oxford, England)
MOTIVATION: Short peptides hold significant promise in drug discovery and materials science due to their biocompatibility, multifunctionality, ease of synthesis, etc. However, accurately predicting their physicochemical properties, a prerequisite for... read more 

textToKnowledgeGraph: Generation of Molecular Interaction Knowledge Graphs Using Large Language Models for Exploration in Cytoscape.

Bioinformatics (Oxford, England)
MOTIVATION: Knowledge graphs (KGs) are powerful tools for structuring and analyzing biological information due to their ability to represent data and improve queries across heterogeneous datasets. However, constructing KGs from unstructured literatur... read more 

Curvature Engineering of SiFe Dual-Atom Catalysts for Enhanced CO2 Electroreduction.

The journal of physical chemistry letters
Geometric tuning of supports is an emerging strategy to optimize catalysts, yet its role in governing the synergy of heteronuclear p-d dual-atom catalysts (DACs) is unexplored. Using carbon nanotubes (CNTs) as tunable curvature substrates, we investi... read more