Artificial Intelligence Medical Compendium

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

Showing 10,751 to 10,760 of 209,601 articles

Endoscopy-based Deep Learning Algorithms versus Endoscopists in Early Esophageal Squamous Cell Carcinoma Detection: A Systematic Review and Meta-Analysis.

The American journal of gastroenterology May 26, 2026
INTRODUCTION: To compare the diagnostic performance of endoscopy-based deep learning (DL) algorithms with endoscopists of different experience levels for detecting early esophageal squamous cell carcinoma (ESCC). METHODS: PubMed, Embase, and Web of S... read more 

Modeling elastoviscoplastic materials using physics-informed neural networks.

Soft matter May 26, 2026
Elastoviscoplastic (EVP) materials pose significant challenges for predictive modeling, especially under large amplitude oscillatory shear (LAOS) conditions due to their nonlinear rheological behavior. While various models have been proposed to descr... read more 

Label-Free Imaging of Single Proteins and Binding Dynamics via Deep Learning-Enhanced Plasmonic Scattering Microscopy.

Journal of the American Chemical Society May 26, 2026
Determining protein binding is fundamental to deciphering biochemical mechanisms and engineering advanced biosensors, yet label-free imaging of single-protein binding dynamics remains challenging. Here, we introduce plasmonic scattering microscopy in... read more 

When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion.

JMIR mental health May 26, 2026
Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophancy, and AI-associated delusions. Less attention has been paid to a prior question: whether the human-generated te... read more 

Minimum Description Length-Driven Fragment Mining for Pretraining Molecule Property Prediction Model.

IEEE transactions on computational biology and bioinformatics May 26, 2026
Molecular fragments play a crucial role in molecular property prediction. However, most existing deep learning approaches rely heavily on expert-defined substructural patterns, limiting their ability to identify novel or latent fragments. This constr... read more 

Immersive spatial computing in neurosurgery.

British journal of neurosurgery May 26, 2026
PURPOSE: Immersive spatial computing technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), are increasingly applied across the neurosurgical pathway. This paper explores their evolution and modern role in crani... read more 

Determinants of maternal postnatal care utilization in Bangladesh: A machine learning and SHAP-based analysis of BDHS 2022 data.

PloS one May 26, 2026
Postnatal care (PNC) plays a crucial role in minimizing maternal and neonatal morbidity and mortality, but the uptake of services in Bangladesh remains below the recommended level. Although logistic regression has been widely used, it may miss comple... read more 

Moving beyond the benchmarks: Five foundational principles for meaningful AI evaluation in healthcare.

PLOS digital health May 26, 2026
Rapid integration of Large Language Models (LLMs) into healthcare has exposed a critical disconnect between technical performance and clinical value. While state-of-the-art models achieve impressive scores on standardized medical examinations, their ... read more 

Development and evaluation of AI model with deep learning for segmentation of extraocular muscles in thyroid eye disease.

PloS one May 26, 2026
PURPOSE: To develop and evaluate an AI model for the segmentation of extraocular muscles (EOMs) using Magnetic Resonance Imaging (MRI). DESIGN: Single-center study with retrospective study. METHODS: The study included 52 patients with thyroid eye dis... read more 

Correction: AI-powered detection of cyberbullying in short-form video content: A hybrid deep learning framework.

PloS one May 26, 2026
[This corrects the article DOI: 10.1371/journal.pone.0338799.]. read more 
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