AI Medical Compendium

Deep learning improves image quality in motion-robust and sedation-free pediatric brain MRI.

European radiology Apr 2, 2026

OBJECTIVES: Motion and limited compliance compromise diagnostic MR image quality, particularly in pediatric patients who frequently require sedation. Single-shot sequences offer a time-efficient alternative but suffer from reduced image quality. This... read more

Diagnostic assessment of artificial intelligence reconstruction on accelerated prostate MRI: a retrospective, paired, multi-reader multi-case study.

European radiology Apr 2, 2026

OBJECTIVES: To determine whether AI-reconstructed prostate MRI at reduced acquisition times maintains prostate cancer (PCa) detection performance comparable to conventional scans. MATERIALS AND METHODS: This multicenter, retrospective, consecutive-co... read more

Individualized treatment strategies and long-term prognosis of congenital hydrocephalus: an integrated analysis based on multicenter retrospective data and machine learning.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery Apr 2, 2026

INTRODUCTION: Hydrocephalus is a common pediatric neurological disorder characterized by abnormal head enlargement, intellectual disability, visual impairment, and death. OBJECTIVE: To compare the short- and long-term efficacy of ventriculoperitoneal... read more

Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to delineate characteristics of this site of recurrence.

Breast cancer research and treatment Apr 2, 2026

PURPOSE: Natural language processing (NLP, artificial intelligence) can enable automated identification of records in large datasets. The purpose of this study was to evaluate the feasibility of NLP in identifying breast cancer-associated lung metast... read more

Multi-omics identification of a programmed cell death-related signature and potential target P4HB for bladder cancer based on a 101-combination machine learning and experimental validation.

Clinical and experimental medicine Apr 2, 2026

Environmental geochemical and machine learning assessment of heavy metal(loid)s sources and risks in urban river-canal sediments of the Saigon system.

Environmental geochemistry and health Apr 2, 2026

In tropical megacities undergoing rapid industrialization, comprehensive assessments of seasonal variability in heavy metal(loid)s sources and ecological risks in river-canal sediments remain limited, particularly in Southeast Asian urban systems. Ur... read more

Advancing diagnostic biomarkers in Alzheimer's disease: interdisciplinary innovations and technological frontiers.

Human cell Apr 2, 2026

Developing diagnostic biomarkers for Alzheimer's disease (AD) is at the cutting edge of interdisciplinary research and technical advancement. This comprehensive analysis investigates potential options for improving diagnostic accuracy and early detec... read more

Modeling and optimization of methylene blue adsorption on biochar via artificial neural network (ANN).

Biodegradation Apr 2, 2026

This study investigates the adsorption of methylene blue (MB) from aqueous solution using citrus peel biochar (CPB) and develops a predictive modeling framework based on Artificial Neural Networks (ANN) for process optimization. CPB was prepared by c... read more

ProVenTL: a transfer-learning framework for predicting peptide-protein interactions derived from snake venom for cancer therapeutics.

Journal of computer-aided molecular design Apr 2, 2026

Accurate prediction of peptide-protein interactions (PepPI) is crucial for advancing peptide-based anticancer drug design. In this study, we introduce ProVenTL, a computer-aided molecular design framework that leverages transfer learning and protein ... read more

Interpretable machine learning model for immune-related hyperthyroidism prediction in patients receiving immune checkpoint inhibitors: A retrospective study.

Endocrine Apr 2, 2026

Artificial Intelligence Medical Compendium