AI Medical Compendium

An Interpretable Deep-Learning Approach for Efficient CEST Parameter Quantification: Importance-Ranked Saturation Transfer MRI Protocol.

Magnetic resonance in medicine May 10, 2026

PURPOSE: An optimal design of saturation-transfer MR fingerprinting (ST-MRF) sequences is essential to accelerate imaging and improve tissue quantification accuracy. This study aims to develop an interpretable deep-learning framework, importance-rank... read more

Interpretable machine learning with SHAP analysis identifies redox-modulating dietary antioxidants for predicting accelerated biological aging.

Experimental gerontology May 10, 2026

BACKGROUND: Aging is a complex biological process characterized by progressive functional decline across multiple physiological systems, and biological age provides a more accurate reflection of an individual's aging status than chronological age. Di... read more

Machine learning and regional homogeneity reveal early and subtle brain changes in type 1 diabetes.

Journal of neuroradiology = Journal de neuroradiologie May 10, 2026

BACKGROUND AND PURPOSE: Type 1 diabetes mellitus (T1DM) usually begins early in life, and its development impacts brain functioning and cognitive processing. The present study examined alterations in spontaneous brain activity in young adults with T1... read more

SedNet: A physics-informed operator-learning framework for rapid sedimentation velocity analytical ultracentrifugation analysis.

International journal of pharmaceutics May 10, 2026

To date, analyzing data from sedimentation velocity analytical ultracentrifugation (SV-AUC) experiments has exclusively been performed using finite element method or other numerical solver-based techniques. These methods are slow, requiring repeated ... read more

Predicting length of stay in the pediatric intensive care unit at a tertiary center in Saudi Arabia using machine learning.

International journal of medical informatics May 10, 2026

BACKGROUND: Prolonged stay in pediatric intensive care units (PICUs) is associated with increased mortality risk, elevated healthcare costs, and diminished critical care capacity. Accurate early prediction of length of stay (LOS) may facilitate resou... read more

CHINTEXDB-PERU28: A unique dataset of traditional textile iconographies from Chinchero, Peru for cultural preservation and image recognition.

Data in brief May 10, 2026

This dataset was collected during on-site fieldwork conducted in the district of Chinchero, located in the province of Urubamba, Cusco, Peru, a region internationally recognized for its rich Andean textile tradition rooted in Inca Culture heritage. T... read more

Can ChatGPT Take My Call? evaluating AI in gynecologic oncology telephone triage.

Gynecologic oncology reports May 9, 2026

BACKGROUND: As access to artificial intelligence (AI) expands, patients and clinicians increasingly rely on these platforms for medical information and guidance. This study assessed ChatGPT's ability to triage and respond to gynecologic oncology (GO)... read more

Validation, implementation, and impact of an AI model in routine practice for pathologic diagnosis of prostate cancer in an academic medical center.

Journal of pathology informatics May 9, 2026

BACKGROUND: Pathological evaluation of prostate needle biopsies is labor-intensive and often requires ancillary immunohistochemistry (IHC), increasing cost and diagnostic turnaround time (TAT). Artificial intelligence (AI)-based decision-support tool... read more

The authors respond to reader comment regarding machine learning models to detect opioid misuse in emergency department patients at triage.

The American journal of emergency medicine May 9, 2026

Sensitive and visual detection of sulfonamides using γ-CD-MOF@Eu-MOF fluorescence sensor assisted by smartphone and machine learning algorithm.

Food chemistry May 9, 2026

The protection of human health and the guarantee of food safety necessitate rapid and precise identification of sulfonamides (SAs) residues in food. Herein, we propose a fluorescence sensor based on γ-CD-MOF@Eu-MOF, which is used for quantitative and... read more

Artificial Intelligence Medical Compendium