Artificial Intelligence Medical Compendium

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

Showing 4,831 to 4,840 of 203,854 articles

Deep learning algorithm for automatic detection of acute ischemic stroke on noncontrast brain CT.

Scientific reports
This study aimed to evaluate the diagnostic performance of a deep learning-based algorithm for detecting acute ischemic stroke (AIS), including small infarcts, on non-contrast computed tomography (NCCT). A retrospective, multi-reader, pivotal, crosso... read more 

Integrating ontology and knowledge graphs for intelligent assessment and feedback in E-learning systems.

Scientific reports
In many online courses, assessment is still reduced to a numerical score accompanied by brief, generic feedback. Learners with different difficulties often receive similar responses, while instructors have limited support for identifying at-risk stud... read more 

Freezing depth prediction of surrounding rock in seasonally frozen tunnels based on bayes-optimized XGBoost.

Scientific reports
During freeze-thaw cycles, frost heave forces induced by pore water phase transition in the surrounding rock of seasonally frozen tunnels act continuously on the lining structure, impairing its stability and service performance. The evolution of free... read more 

Deep learning-based CT-derived vertebral bone mineral density and metformin therapy: a longitudinal study in the Multi-Ethnic Study of Atherosclerosis.

Skeletal radiology
OBJECTIVE: Evidence on metformin's skeletal effects remains conflicting. We emulated a target trial to evaluate associations between metformin therapy and deep learning-based CT-derived vertebral bone mineral density (vBMD). We also assessed variatio... read more 

Artificial Intelligence Among U.S. Hematology Oncology Fellows: A Multicenter Survey of Education, Attitudes, and Clinical Use.

JCO oncology practice
PURPOSE: A prior national survey of U.S. hematology/oncology (H/O) fellowship curricula demonstrated substantial heterogeneity and limited protected didactic time. Since then, artificial intelligence (AI), including large language models (LLM) and am... read more 

AI-Driven discovery of brain-penetrant mTOR-independent autophagy enhancers for Alzheimer's disease.

Autophagy
Current Alzheimer's disease therapies offer limited efficacy and are often accompanied by significant side effects, underscoring the urgent need for new treatment strategies. Enhancing autophagy represents a promising therapeutic approach, yet most k... read more 

Trends in Computational Metabolomics: A Perspective on Five Years of Software Development, Challenges, and Opportunities (2021-2025).

Analytical chemistry
Metabolomics software development has accelerated rapidly, yet no recent systematic analysis has quantified how the landscape is evolving across computational methods, geographies, and the research community's technology adoption. There is a strong n... read more 

[Artificial intelligence in diabetic retinopathy screening].

Orvosi hetilap
INTRODUCTION: Visual impairment and blindness continue to represent a substantial disease burden in Hungary. According to national epidemiological data, the combined prevalence of bilateral blindness and severe visual impairment among individuals age... read more 

Deep learning-based monitoring and localization in autonomous underwater vehicle networks for aquatic ecosystem analysis.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Monitoring the aquatic ecosystem is crucial for effective communication and issuing alerts regarding underwater environmental conditions. None of the existing studies have accounted for varying environmental conditions in underwater ecosystem monitor... read more 

Core body temperature is associated with visual representations of social group members.

Acta psychologica
Core body temperature (CBT) reflects a physiological state that may correspond with variation in social perception. In two exploratory studies, we examined whether individual differences in CBT correspond with visual representations of social group m... read more