Artificial Intelligence Medical Compendium

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

Showing 5,331 to 5,340 of 204,381 articles

Occupational therapists' perceptions of artificial intelligence: Potential, preparedness, and training needs.

Australian occupational therapy journal
INTRODUCTION: Artificial intelligence (AI) is transforming health care, yet its impact on occupational therapy remains underexplored. This study investigated occupational therapists' perceptions of AI's potential, preparedness, and training needs and... read more 

EnAcrPred: A robust ensemble machine learning framework for identifying anti-CRISPR proteins.

Protein science : a publication of the Protein Society
The identification of anti-CRISPR proteins (Acrs) is crucial for understanding the regulation of CRISPR-Cas systems and their application in gene editing. However, current experimental methods face challenges, particularly in detecting Acrs with low ... read more 

ChatGPT in Public Cardiovascular Healthcare: Accuracy, Limitations, and Implications.

Journal of evaluation in clinical practice
INTRODUCTION: ChatGPT is a cost-effective artificial intelligence (AI) tool designed to facilitate virtual interactions with humans, and its application in healthcare is expanding. However, research on ChatGPT's effectiveness in public healthcare, pa... read more 

GWAS and genomic prediction of crown rust resistance in the southern US elite oat (Avena sativa L.) germplasm.

The plant genome
Crown rust (CR), caused by Puccinia coronata f. sp. avenae, is a major constraint to oat (Avena sativa L.) production in the southern United States. We dissected the genetic architecture of CR resistance and assessed genomic prediction in 234 winter ... read more 

A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice.

The plant genome
Rice (Oryza sativa) is an important staple food, feeding more than half of the global population. A feasible improvement of rice yield is necessary to meet the ever-growing food demands. Genomic selection (GS), as an advanced breeding technique, enab... read more 

Integrated Workflow Finite Element Modeling of the Temporomandibular Joint: Toward a Methodical and Reproducible Approach.

Journal of biomechanical engineering
This study presents a patient-specific parametric model of the temporomandibular joint, designed to be semi-automated, and reproducible for multiple patients. The numerical model is used to evaluate mandibular stress distribution under different inte... read more 

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Renal failure
Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection. Sepsis can induce cellular senescence, thereby exacerbating tissue damage and organ dysfunction. However, the key biomarkers of cellular senescence a... 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 

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 

From unsupervised clustering to atlas-guided annotation in cohort-scale spatial omics with HiCAT

bioRxiv
Pathologist-annotated tissue regions provide a fundamental reference for examining spatial omics data, yet such annotations are available for a limited number of samples due to the substantial manual effort required. Moreover, these annotations are d... read more