Artificial Intelligence Medical Compendium

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

Showing 1,341 to 1,350 of 200,346 articles

Comparison of Brain Computed Tomography Attenuation Values Between Deep-Learning and Conventional Reconstruction Methods: A Bias-Free Approach.

Journal of computer assisted tomography
OBJECTIVES: To investigate the differences in brain computed tomography (CT) attenuation with deep-learning reconstruction (DLR) versus conventional reconstruction methods using a bias-free approach. METHODS: Unenhanced brain CT scans of 27 participa... read more 

Trust, Verify, Override: Behavioral Governance for Generative Artificial Intelligence in Medical Imaging.

Health education & behavior : the official publication of the Society for Public Health Education
Generative artificial intelligence (AI) in clinical communication, including in medical imaging, presents behavior-mediated safety challenges: outcomes depend on how clinicians verify AI-generated content under time constraints. However, guidance has... read more 

Screening and comprehensive analysis of endoplasmic reticulum stress-related biomarkers in atherosclerosis.

PloS one
Atherosclerosis (AS) is a chronic inflammatory vascular disorder in which endoplasmic reticulum stress (ERS) plays a crucial regulatory role. However, the biological and translational relevance of ERS-related gene networks in AS remains largely unexp... read more 

A global analysis of national cardiovascular disease control plans using a multi-agent artificial intelligence model.

PLOS digital health
Cardiovascular diseases cause nearly one-third of global deaths, yet standalone National Cardiovascular Disease Control Plans remain uncommon and inconsistently structured. We assessed the comprehensiveness of recent national plans using a validated ... read more 

A comparative analysis of the performance of leading large language models on the endodontics section of the dentistry specialization exam in Türkiye.

PloS one
OBJECTIVE: This study aimed to evaluate and compare the performance of eight contemporary LLMs on the endodontics section of the DUS, assessing their accuracy in both theoretical knowledge and simulated clinical scenarios from historical exam data. M... read more 

Human versus AI in audiological practice: A comparative evaluation of ChatGPT and physician treatment decisions in idiopathic sudden sensorineural hearing loss.

PloS one
PURPOSE: Artificial Intelligence (AI) is increasingly being applied in the field of audiology, demonstrating potential to support screening, diagnosis, and rehabilitation in auditory and vestibular disorders. However, its effectiveness in guiding com... read more 

Evolving graph attention networks for dynamic link prediction.

PloS one
Graph neural networks (GNNs), which learn node representations via aggregating their neighbors, have shown superior performance and become the de facto efficient toolkit for analyzing and learning from data with structured properties. However, most e... read more 

Generative adversarial networks for enhanced performance prediction of square CFST members under axial tension.

PloS one
Taking square concrete-filled steel tubular (CFST) members under axial tension as the research object, a three-dimensional mesoscopic finite element model was established based on the experimental results of six specimens. Ten parametric models were ... read more 

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning.

PloS one
BACKGROUND: Esophageal cancer ranks among the most lethal malignancies worldwide, particularly prevalent in the Guangdong-Chaoshan region of China due to regional dietary habits. Cytokeratin 19 (CK19) is an important immunohistochemical marker reflec... read more 

Gallstone disease classification using SLOA-optimized CatBoost classifier with explainable AI.

PloS one
Gallstones are small stones that form in the gallbladder. Around 80% of individuals with gallstones do not present any symptoms. Despite the high accuracy of image-based machine learning (ML) models in the detection of gallstones, less research has b... read more