Artificial Intelligence Medical Compendium

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

Showing 46,731 to 46,740 of 224,199 articles

Quantitative 3D Real-Space Analysis of Photonic Supraparticles.

Advanced materials (Deerfield Beach, Fla.)
Supraparticles (SPs) are assemblies of smaller particles, and they form an interesting material class. One way through which these structures can be formed is self-assembly (SA) in spherical confinement, and what makes them unique is that they combin... read more 

Deep contrastive learning method for drug-target interactions prediction.

Computer methods in biomechanics and biomedical engineering
Accurate prediction of drug-target interactions (DTI) is critical for accelerating drug discovery. In this study, we propose deep contrastive learning (DeepCL), a novel deep contrastive learning framework that significantly improves DTI prediction ac... read more 

Virtualization as a New Scaling Law for Semiconductor Devices Beyond Geometric Scaling.

Small (Weinheim an der Bergstrasse, Germany)
As Moore's-law-driven geometric scaling nears physical, economic, and sustainability limits, semiconductor progress is increasingly constrained by the cost and latency of physical iteration. This Perspective argues that AI enables virtualization as a... read more 

Artificial Intelligence Simplification of English and Spanish Surgical Consent Forms: 1-Size Does Not Fit All.

Journal of the American College of Surgeons
BACKGROUND: Guidelines recommend patient-facing material be written at or below a 6-9 th-grade reading level; however, surgical consent forms frequently exceed this standard. Artificial intelligence chatbots offer accessible tools to enhance readabil... read more 

Fully automated segmentation of foot bones using machine learning and convolutional neural networks.

Acta radiologica (Stockholm, Sweden : 1987)
BackgroundRecent advancements in medical imaging technology have significantly increased the prevalence of automatic and semi-automatic segmentation techniques for foot bones, offering promising potential for improving diagnostic accuracy and efficie... read more 

From manual parametric to artificial intelligence-based automation: A systematic review of recent advances in endoscopic surgical skills evaluation.

Journal of minimal access surgery
Evaluating surgical skills is critical to surgical training. Numerous methods and scoring scales have recently emerged to assess skills. This study systematically reviews techniques used for evaluating endoscopic surgical skills. An online search was... read more 

Research on spectroscopic determination and classification of diffuse reflectance for low-altitude UAV fuselage materials.

Analytical methods : advancing methods and applications
The spectral reflectance characteristics of drone materials are one of the key factors enabling accurate spectral detection of drones. In this study, an experimental setup was independently constructed to measure the diffuse reflectance of drone fuse... read more 

EEG microstate-derived dynamic network biomarkers for lateralization and structural etiology in temporal lobe epilepsy.

Epilepsia
OBJECTIVE: Temporal lobe epilepsy (TLE) is the most common focal epilepsy but remains highly heterogeneous across hemispheric and structural etiology. This study aimed to characterize microstate-based network dynamics in TLE and evaluate their diagno... read more 

Deep Learning-Assisted Intelligent Liquid Crystal Elastomer Grippers Based on Autonomous Triboelectric Sensing.

ACS applied materials & interfaces
Soft grippers have shown promising applications in robotics due to their high flexibility, damage-free contact, and environmental adaptability. However, their sensing often relies on external sensors and thus suffers from susceptibility to environmen... read more 

Generative Models for Crystalline Materials.

Advanced materials (Deerfield Beach, Fla.)
Understanding structure-property relationships in materials is fundamental in condensed matter physics and materials science. Over the past few years, machine learning (ML) has emerged as a powerful tool for advancing this understanding and accelerat... read more