AI Medical Compendium

Utility of Machine Learning in Predicting Catastrophic Cardiac Complications Following Hip and Knee Periprosthetic Fracture Surgery Using Preoperative Parameters.

The Journal of arthroplasty Apr 9, 2026

BACKGROUND: With the rising prevalence of primary total hip (THA) and knee arthroplasties (TKA), the number of periprosthetic fractures (PPF) is expected to increase. Myocardial infarction (MI) and cardiac arrest (CA) are devastating complications fo... read more

Composition, Pediatric Representation, and Transparency Disclosure Among FDA-Cleared Radiology Artificial Intelligence Products.

Journal of the American College of Radiology : JACR Apr 9, 2026

RadTranslateGPT: An Improved AI-Based System for Translation and Simplification of Structured Radiology Reports.

Journal of the American College of Radiology : JACR Apr 9, 2026

INTRODUCTION: Radiology reports often contain complex medical jargon that can be difficult for patients to understand, especially those with limited English proficiency (LEP). With increased access to electronic health records, there is a need for pa... read more

An Interpretable Model Combining Brain Imaging and Clinical Indicators for Predicting Overt Hepatic Encephalopathy.

Analytical biochemistry Apr 9, 2026

BACKGROUND: Differentiating overt hepatic encephalopathy (OHE) from covert hepatic encephalopathy (CHE) remains challenging due to overlapping symptoms and the limitations of current grading tools. This study aimed to integrate quantitative susceptib... read more

Classification of biliary strictures using real-time cholangioscopy artificial intelligence: the SMART-AI trial.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Apr 9, 2026

BACKGROUND: Sampling techniques have poor accuracy for classifying biliary strictures as benign or malignant. Previously, a cholangioscopy artificial intelligence (AI) outperformed sampling techniques based solely on analysis of previously recorded c... read more

The Effect of Glenoid Rotational Malalignment on Best-Fit Circles Based on AI-Generated Mathematically True Glenoid En-Face Views.

Journal of shoulder and elbow surgery Apr 9, 2026

BACKGROUND: The majority of studies that measure glenoid bone loss in the context of shoulder instability, are based on a sagittal image, termed the 'en-face' view, with the aid of best-fit circles. The en-face view has never been standardised in the... read more

HeFS: Helper-Enhanced Feature Selection via Pareto-Optimized Genetic Search.

Journal of advanced research Apr 9, 2026

INTRODUCTION: Feature selection plays a crucial role in improving predictive performance and interpretability in high-dimensional machine learning tasks. However, it is an NP-hard combinatorial optimization problem. Conventional heuristic or greedy a... read more

A unified approach for maintaining MRI reconstruction quality and quantifying both aleatoric and epistemic uncertainty.

Magnetic resonance imaging Apr 9, 2026

This study investigates practical design choices for Bayesian uncertainty quantification (UQ) in model-based deep learning (MoDL) for accelerated MRI reconstruction. Specifically, we examine where to introduce stochastic layers to capture epistemic u... read more

Self-enhancement-based perfusion mapping with contrast-enhanced magnetic resonance imaging for PAD assessment.

Magnetic resonance imaging Apr 9, 2026

We developed an automatic self-enhancement-based perfusion mapping (SEPM) method to relatively map the microvascular perfusion level in contrast-enhanced magnetic resonance imaging (CE-MRI) into four categories: hyper-enhanced, isoenhanced, hypo-enha... read more

Artificial intelligence for epiretinal membrane detection using ultrawidefield scanning laser ophthalmoscopy.

Photodiagnosis and photodynamic therapy Apr 9, 2026

BACKGROUND: There is currently no validated artificial intelligence (AI) model for detecting epiretinal membrane (ERM) using ultrawidefield scanning laser ophthalmoscopy (UWF-SLO). To address this gap, we aimed to develop and validate a dedicated dee... read more

Artificial Intelligence Medical Compendium