Artificial Intelligence Medical Compendium

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

Showing 21,101 to 21,110 of 216,348 articles

VQ-Wave: A Physics-Driven Spatiotemporal Deep Learning Approach for Noncontrast-Enhanced Lung Ventilation and Perfusion MRI.

Magnetic resonance in medicine
PURPOSE: To develop a robust deep learning framework for noncontrast-enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. METHODS: We introduce VQ-Wave (Ventilation/Q-per... read more 

AI In the Chair: ChatGPT In Dental Education-A Cross-Sectional Study of Student Use and Perceptions in New Zealand.

European journal of dental education : official journal of the Association for Dental Education in Europe
AIMS: To investigate the usage, implications, and perceptions of ChatGPT among dental students and understand how students incorporate ChatGPT into their academic routines, as well as the perceived benefits and concerns. METHODS: An electronic survey... read more 

Single-cell and bulk omics uncover fibroblast heterogeneity and HSPH1 as a key driver in Barrett's esophagus to esophageal adenocarcinoma progression.

Cancer cell international
BACKGROUND: Esophageal adenocarcinoma (EAC) is a highly aggressive malignancy with poor prognosis, often evolving from Barrett's esophagus (BE). Understanding the molecular mechanisms driving this progression is critical for identifying diagnostic bi... read more 

Beyond binary AKI classification: development and external validation of a distributional model predicting serum creatinine and urine output trajectories in ICU patients.

Critical care (London, England)
BACKGROUND: Acute kidney injury (AKI) is a frequent, severe complication in the intensive care units (ICU). Existing machine learning models are typically inflexible, classification-based (i.e., predicting AKI occurrence as yes/no), and of limited cl... read more 

Unveiling the Microvasculature: The Index of Microcirculatory Resistance and Its Expanding Role in Cardiovascular Care.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Index of microcirculatory resistance (IMR) is a cutting-edge, wire-based tool that advances the capability assessment of coronary microvascular function. By utilizing distal coronary pressure and mean transit time under maximal hyperemia, IMR deliver... read more 

Genomic variation drives plant flavor diversification.

Journal of integrative plant biology
Plant flavor diversity arises from genomic variation across species and cultivars, yet the mechanisms linking natural genomic variation to flavor-related phenotypes remain insufficiently integrated. Here, we systematically review how diverse forms of... read more 

Mamba-Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata.

International endodontic journal
AIM: Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical met... read more 

Using locally-hosted Small Language Models (SLMs) to protect student, patient and research subject data in Health Professions Education.

Medical teacher
WHAT WAS THE EDUCATIONAL CHALLENGE?: Cloud-based Large Language Models (LLMs) are being increasingly used for Health Professions Education (HPE) teaching and research. A major concern is data privacy, resulting in a potential exposure of student, pat... read more 

Disentangling the Network Structure of Online Social Support: A Multilayer Network Analysis of a Twitter Long COVID Community.

Health communication
Online social support has been shown to be an important resource for people experiencing chronic illnesses. Although numerous studies have examined online support communities, few have conducted in-depth analyses grounded in social network theory and... read more 

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra-Low Field Using Deep Learning.

Magnetic resonance in medicine
PURPOSE: This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) by reducing the requisite number of diffusion-weighted measurements to four. We examine its practica... read more