Artificial Intelligence Medical Compendium

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

Showing 4,361 to 4,370 of 174,001 articles

Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.

Science advances
Sensitivity enhancement for pressure sensors over a broad linear range can improve sensing performance for a wide range of applications such as health monitoring and artificial intelligence. Here, inspired by the high-precision mechanosensory mechani... read more 

SCORCH2: A Generalized Heterogeneous Consensus Model for High-Enrichment Interaction-Based Virtual Screening.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The discovery of effective therapeutics remains a complex, costly, and time-consuming endeavor, characterized by high failure rates and significant resource investments. A central bottleneck in early-stage drug discovery is identifying suitable hit c... read more 

Billing and Coding in Foot and Ankle Surgery: Can We Trust Artificial Intelligence?

Foot & ankle specialist
BackgroundBilling and coding for orthopaedic procedures is a complex process with thousands of procedure codes and associated modifiers in existence. Foot and ankle faces an additional challenge as it is among the highest variability regarding proced... read more 

SCRIPT: Predicting Single-Cell Long-Range Cis-Regulation Based on Pretrained Graph Attention Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Single-cell cis-regulatory relationships (CRRs) are essential for deciphering transcriptional regulation and understanding the pathogenic mechanisms of disease-associated non-coding variants. Existing computational methods struggle to accurately pred... read more 

Warning: AI chatbots will soon dominate psychotherapy.

The British journal of psychiatry : the journal of mental science
Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial intelligence. Their uncanny ability to engage and validate is a two-edged sword - useful for the majorit... read more 

New chemical average model for molecular simulations of the asphalt system.

Physical chemistry chemical physics : PCCP
This study refined the Brown-Ladner (B-L) method and combined it with elemental analysis to construct average molecular structure models of virgin asphalt, aiming to achieve more precise molecular simulations of asphalt materials. The chemical struct... read more 

Sarcopenia Assessment Using Fully Automated Deep Learning Predicts Cardiac Allograft Survival in Heart Transplant Recipients.

Circulation. Heart failure
BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more 

Determination of intrinsic cellular electrical and mechanical properties using micro/nano manipulation techniques.

Soft matter
Single-mode biophysical fingerprints have specific overlap when cell heterogeneity is analyzed. The cross-sensitivity between these parameters results in significant fuzzy intervals in cell phenotype classification based on one-dimensional features, ... read more 

Pioneering 3D and 4D Bioprinting Strategies for Advanced Wound Management: From Design to Healing.

Small (Weinheim an der Bergstrasse, Germany)
Chronic and complex wounds pose a major clinical challenge due to the intricate skin architecture and the multifactorial nature of healing. Conventional wound care often fails to restore native skin function and structure. Advances in 3D and 4D biopr... read more 

Synergistic Modulation of Microglial Polarization by Acteoside and Ferulic Acid via Dual Targeting of Nrf2 and RORγt to Alleviate Depression-Associated Neuroinflammation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Acteoside (ACT) and ferulic acid (FA), the principal bioactive constituents of Baihe Dihuang decoction (BDD), possess established anti-inflammatory and antidepressant properties, but their combined effect on microglial phenotype modulation remains un... read more