Artificial Intelligence Medical Compendium

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

Showing 65,821 to 65,830 of 232,257 articles

Latest research

Automatic forward model parameterization with Bayesian inference of conformational populations.

APL machine learning
To quantify how well theoretical predictions of structural ensembles agree with experimental measurements, we depend on the accuracy of forward models (FMs). These models are computational frameworks that generate observable quantities from molecular... read more 

Benchmarking geometric lamellar orientation: A large-scale synthetic dataset for quantification of ferrite-pearlite steels.

Data in brief
Quantitative metallography of ferrite-pearlite steels is essential for establishing structure-property correlations, yet manual characterization is labour-intensive and prone to bias. This article presents a large-scale synthetic dataset designed to ... read more 

Patient Perceptions of Artificial Intelligence-Generated Kidney Transplant Information: Comparing ChatGPT With the National Kidney Foundation.

Kidney medicine
RATIONALE & OBJECTIVE: Generative artificial intelligence (AI) may help patients better understand the complexities of kidney transplantation. However, little is known about how individuals with chronic kidney disease (CKD) perceive AI-generated heal... read more 

High-Degree-of-Freedom Fabric-Based Soft Glove with Dexterous Thumb Assistance.

Soft robotics
Fabric-based soft gloves, due to their safety, light weight, and compliance, exhibit promising potential in assisting individuals with hand impairments. However, most existing soft gloves focus solely on finger flexion and extension, with limited con... read more 

Integrated region-specific modeling of H5 avian influenza in Asia using ENSO-based forecasts.

One health (Amsterdam, Netherlands)
Highly pathogenic avian influenza (HPAI), particularly of the H5 subtype, remains a persistent threat to poultry, wildlife, and public health across Asia. This study quantifies the influence of the El NiƱo-Southern Oscillation (ENSO), using the Multi... read more 

Machine learning-based identification of determinants of pulse pressure in pregnant women.

Global epidemiology
BACKGROUND: Pulse pressure (PP) is an important marker of arterial stiffness and cardiovascular risk during pregnancy, yet its longitudinal determinants remain insufficiently characterized, particularly in low-resource settings. OBJECTIVE: To identif... read more 

A risk model to predict atrial fibrillation in diabetes using machine learning: The ACCORD study.

American heart journal plus : cardiology research and practice
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value compared with traditional models such as Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE-AF) in patients with diabetes remains un... read more 

Immunoprotective and neuroprotective properties of gut microbiome in psoriasis.

Journal of translational autoimmunity
Psoriasis impacts nearly 100 million people globally and is associated with neuropsychiatric comorbidities such as depression and anxiety. With gut microbiome dysbiosis serving as a primary pathophysiological factor, the gut-brain-skin axis provides ... read more