Artificial Intelligence Medical Compendium

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

Showing 9,061 to 9,070 of 208,441 articles

Enhancing resolution and image quality in musculoskeletal MRI using deep learning reconstruction.

European radiology experimental
OBJECTIVE: Deep learning-based noise reduction enhances image quality, overcoming the tradeoff among acquisition time, spatial resolution, and signal-to-noise ratio (SNR). We implemented deep learning reconstruction (DLR) into a 1.5-T musculoskeletal... read more 

Impact of Unfractionated Heparin Use on Maternal Bone Mineral Density During Pregnancy: A Retrospective Study Using AI-Assisted Radiographic Analysis.

Reproductive sciences (Thousand Oaks, Calif.)
PURPOSE: This study aimed to evaluate the impact of unfractionated heparin (UFH) use during pregnancy on maternal bone mineral density (BMD) by assessing BMD in pregnant women with heparin exposure using an artificial intelligence (AI)-assisted analy... read more 

A Flexible and Generalized Constant-Potential Framework in i-PI.

Journal of chemical theory and computation
Constant-potential molecular dynamics is essential for realistic simulations of electrochemical interfaces under Operando conditions. Although various constant-potential frameworks exist, most are tightly coupled to specific electronic-structure code... read more 

Machine learning-driven drug repurposing for GPR17: activity prediction via graph neural networks and multistage computational validation.

Journal of biomolecular structure & dynamics
To identify novel GPR17-targeting ligands with potential relevance to multiple sclerosis (MS) therapy, we developed an integrated computational workflow combining graph neural network (GNN)-based prediction with multistage structure-based validation.... read more 

mePTL: miRNA-encoded peptides identification using multi-source feature transformation and ensemble learning.

Journal of biomolecular structure & dynamics
MicroRNA (miRNA) is a type of non-coding RNA and participates in the post-transcriptional control of genes to regulate the expression of target genes. Inspired by the discovery of small peptides translated from other ncRNAs, small open reading frames... read more 

Unveiling Hydrogen Fluoride Emission Mechanisms in Municipal Solid Waste Incineration Using a Machine Learning Approach.

Environmental science & technology
Hydrogen fluoride (HF) emissions from municipal solid waste incineration (MSWI) pose significant environmental and health risks. However, their complex formation mechanisms remain poorly understood. This study presents an integrated machine learning ... read more 

Two-dimensional materials as emerging electrocatalysts for the HER, ORR, and OER: design strategies, challenges, and prospects in sustainable energy conversion.

Physical chemistry chemical physics : PCCP
Two-dimensional (2D) materials have emerged as a versatile platform for high-performance electrocatalysts in sustainable energy conversion and storage technologies, including fuel cells, water splitting, and metal-air batteries (MABs). The central pa... read more 

Efficacy of an e-Learning Module on Endocrine Disruptors for Family Medicine Residents: Matched Before-And-After Cohort Study.

JMIR formative research
BACKGROUND: Environmental factors account for 23% of global deaths and 25% of chronic diseases. In France, the Fourth National Environmental Health Plan prioritizes training health professionals in environmental health. Endocrine-disrupting chemicals... read more 

Evaluating Equity in AI-Supported Functional Assessment: Agreement Between Clinician Judgment and Digital Metrics in Stroke Rehabilitation.

Evaluation & the health professions
Evaluating agreement between AI-generated functional assessment metrics and clinician judgment in stroke rehabilitation is important for understanding how AI-supported evaluation tools may complement clinical practice. This cross-sectional study exam... read more