Artificial Intelligence Medical Compendium

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

Showing 58,331 to 58,340 of 227,634 articles

Tegmental kappa-opioid receptor neurons modulate opioid withdrawal via the periaqueductal gray.

Brain : a journal of neurology
Opioid withdrawal is a common and distressing manifestation of opioid dependence which, if left untreated, frequently results in relapse, accidental overdose, and suicide. While much is known about the role of mesolimbic and mesocortical dopaminergic... read more 

Early Evaluation of the AI-Enabled Residency Application Screening Tool Thalamus Cortex: Opportunities, Inaccuracies, and Implications for Resident Selection.

The Laryngoscope
Artificial intelligence (AI) tools to facilitate residency application review are available to all residency programs using the Electronic Residency Application System (ERAS) through the Thalamus Cortex system. Responsible use of this technology requ... read more 

ViralBindPredict: Empowering Viral Protein-Ligand Binding Sites through Deep Learning and Protein Sequence-Derived Insights.

GigaScience
BACKGROUND: The development of a single therapeutic compound can exceed 1.8 billion USD and take more than a decade, underscoring the urgent need to accelerate drug discovery. Computational methods have become indispensable; however, traditional appr... read more 

The escalating threat of multidrug-resistant organisms: COVID-19 impact, global burden, and the Taiwanese experience.

Expert review of anti-infective therapy
INTRODUCTION: The COVID-19 pandemic has intensified global health challenges, including a silent but escalating crisis: multidrug-resistant organisms (MDROs). As healthcare systems strained under viral outbreaks, infection control and antimicrobial s... read more 

Bioinspired Multifunctional Hydrogels for Deep Learning-Enabled Wound pH Visual Monitoring and Treatment.

Analytical chemistry
Smart wound dressings capable of real-time environmental monitoring and therapeutic intervention are crucial for managing difficult-to-heal wounds. Herein, we report a bioinspired, enzyme cascade-initiated multifunctional hydrogel (EVQ) that integrat... read more 

Low-Frequency In-Plane Phonons Dominate Thermal Transport in Montmorillonite: Machine-Learning Molecular Dynamics Insights.

Langmuir : the ACS journal of surfaces and colloids
Montmorillonite (MMT), a foundational constituent of permafrost systems, plays a critical role in determining the thermophysical properties of frozen soils through its thermal transport behavior. The current understanding of these properties remains ... read more 

Machine-Learning Accelerated Computational Spectroscopy Reveals Vibrational Signature of the Oxidation Level of Graphene in Contact with Water.

The journal of physical chemistry letters
Precise characterization of the graphene-water interface has been hindered by the experimental inconsistencies and limited molecular-level access to interfacial structures. In this work, we present a novel integrated computational approach that combi... read more 

Bimetal-Anchored Single-Atom Catalysts for Superior Nitrogen Reduction: Synergistic DFT and Machine Learning Design.

Langmuir : the ACS journal of surfaces and colloids
Electrochemical N2-to-NH3 conversion is attracting intense interest, yet catalysts that combine high activity, selectivity, and stability remain scarce. Here, machine-learning (ML) surrogate models with density-functional theory (DFT) were integrated... read more 

The current state of artificial intelligence research in pediatric radiology and recommendations for the future: a scoping review.

Pediatric radiology
BACKGROUND: Most artificial intelligence (AI) research in radiology has focused on adults. Understanding macro-level trends in pediatric radiology AI can help guide, streamline, and bolster future research. OBJECTIVE: To detail the current landscape ... read more