Artificial Intelligence Medical Compendium

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

Showing 23,201 to 23,210 of 217,176 articles

Enabling Advanced Bioinspired Computing and Hardware Security in Sb2(S,Se)3 Memristors via Titanium Interfacial Engineering.

The journal of physical chemistry letters
Neuromorphic systems for artificial intelligence require capabilities for both sophisticated sensory perception and secure data processing. However, the performance and reliability of memristors are critically limited by the electrode/functional laye... read more 

The research we never questioned: What artificial intelligence is revealing in health professions education.

Medical teacher
Health professions' education (HPE) research has evolved within an academic ecosystem. This paper works to put forth that generative artificial intelligence (AI) and autonomous AI agents are exposing the underbelly of HPE. Two responses have emerged:... read more 

Hypergraph-Based Dual-Channel Improved Variational Autoencoder with Cross-Attention for Compound-Protein Interactions Identification.

Journal of chemical information and modeling
Elucidating compound-protein interactions is crucial for early drug discovery, offering insights into molecular mechanisms and therapeutic potential. While wet-lab methods detect interactions, they suffer from false positives, high costs, and labor i... read more 

Augmented Reality and Artificial Intelligence for the Assessment and Rehabilitation of Spatial Neglect: A Systematic Review.

Neurorehabilitation and neural repair
BACKGROUND AND PURPOSE: Augmented reality (AR) and artificial intelligence (AI) have been applied to the assessment and rehabilitation of post-stroke spatial neglect (SN). This study aims to evaluate the feasibility, effectiveness, degree of personal... read more 

Modeling pH-Dependent Protein Dynamics by Integrating Coarse-Grained Molecular Simulation and the Deep Neural Network Model.

Journal of chemical theory and computation
The pKa values of titratable residues are fundamental parameters that shape protein behavior in a given solution environment. They govern electrostatic interactions and thereby influence protein folding, conformational dynamics, and molecular recogni... read more 

Machine Learning Accelerates Crystallization for Structure Determination.

Angewandte Chemie (International ed. in English)
Single-crystal x-ray diffraction (SCXRD) is a powerful tool for structural elucidation, but requires high-quality crystals that are often difficult to obtain. The crystalline mate strategy helps overcome this limitation by facilitating the co-crystal... read more 

The role of AI in prostate cancer care: Assessing the role of chatbots versus urologists in patient communication and empathy.

Urologia
OBJECTIVE: To date, the integration of artificial intelligence (AI) in healthcare has expanded rapidly, offering new tools for patient education and communication. In prostate cancer (PCa), where information needs are high and emotionally sensitive, ... read more 

An AI-Ready Phosphorylation Meta-Analysis for Saccharomyces cerevisiae.

Journal of proteome research
We, the PTMeXchange Consortium, present a meta-analysis of eight high-quality data sets to map 56,694 phosphosites in brewer's yeast (Saccharomyces cerevisiae) using strict control for false identifications. Each site has been classified into the Gol... read more 

AIBAN-AI Bronchial Detection and Airway Navigation System.

Journal of bronchology & interventional pulmonology
BACKGROUND: Accurate navigation within the lungs is critical for bronchoscopy procedures but remains challenging due to the complex airway anatomy. Artificial intelligence (AI) integrating real-time landmark detection and navigation guidance may enha... read more 

MLN2SVG: domain-aware spatially variable gene detection using contrastive variational autoencoder and multi-level neighbor search.

Briefings in bioinformatics
Spatial transcriptomics (ST) technologies have transformed our ability to examine gene expression within intact tissues, yet accurately identifying spatially variable genes (SVGs) remains challenging due to spatial heterogeneity, data sparsity, and i... read more