RATIONALE AND OBJECTIVES: Radiation dose reduction in pediatric chest radiography is a clinical priority due to increased radiosensitivity and cumulative lifetime risk. However, substantial dose reduction may degrade image quality and compromise diag... read more
Journal of voice : official journal of the Voice Foundation
Apr 24, 2026
Accurate analysis of the singing voice is often constrained by the need for clean, laboratory-quality recordings. Commercial recordings (CRs)-valuable for artistic and historical study-pose challenges due to complex accompaniment, recording artifacts... read more
Very few anaesthesiology-related machine learning models have successfully made the transition from retrospective validation to prospective implementation. A new publication in the British Journal of Anaesthesia describes the single-centre implementa... read more
Ecotoxicology and environmental safety
Apr 24, 2026
Benzo[a]pyrene (BaP), a widespread environmental pollutant, has been increasingly implicated in the pathogenesis of chronic degenerative diseases. Environmental pollutants have recently been recognized as emerging risk factors for osteoarthritis (OA)... read more
As generative artificial intelligence (GenAI) becomes increasingly integrated into educational contexts, learners' interactions with AI systems have emerged as a crucial determinant of learning effectiveness. Yet, prior studies have primarily emphasi... read more
The purpose of this study is to examine explainable artificial intelligence (XAI) in cognitive psychology within higher education institutions. Data were retrieved from Scopus, Web of Science, and PsycINFO (1 January 2015-30 October 2025) in accordan... read more
N6,2'-O-dimethyladenosine (m6Am) is a critical RNA modification that plays a pivotal role in regulating RNA stability, translation efficiency, and gene expression. Accurate computational identification of m6Am sites is essential for advancing epitran... read more
International journal of medical informatics
Apr 24, 2026
BACKGROUND: Gastric adenocarcinoma (GAC) remains a major global health burden with marked heterogeneity, complicating diagnosis and prognostic assessment. The Laurén classification, though widely used, suffers from interobserver variability, particul... read more
This study integrated machine learning and explainable artificial intelligence (XAI) to classify four processing degrees of Eucommiae cortex (EC): raw, under-processed, moderately processed and over-processed. Powder characteristics (L⁎, a⁎, b⁎), and... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.