Latest AI and machine learning research in alternative medicine for healthcare professionals.
BACKGROUND: Systematic reviews are intended to provide trustworthy evidence synthesis, yet previous iterations of this living review have identified numerous recurring problems in their conduct and reporting. This article presents the third version and second update of the living systematic review examining issues raised across the academic literature. METHODS: Using consistent eligibility criteri...
2-Bromo-4,6-dinitroaniline (BDNA), a synthetic intermediate of brominated azo dyes, poses potential nephrotoxicity risks; however, its early molecular injury mechanisms remain elusive. This study integrated network toxicology prediction, machine learning algorithms (least absolute shrinkage and selection operator [LASSO], support vector machine recursive feature elimination [SVM-RFE], and random f...
BACKGROUND: The implementation of digital technologies within health services promises increased performance, quality, and efficiency. However, eviden...
PURPOSE: To develop and rigorously evaluate a hyperparameter-optimized custom convolutional neural network for kidney stone detection on axial compute...
Nanomedicine has transformed targeted drug delivery, yet the complexity of nano-bio interactions continues to hinder rational nanoparticle design. Pre...
BACKGROUND: Digital twin technology, originating from aerospace and manufacturing industries, has emerged as a transformative tool in healthcare. In v...
Artificial intelligence (AI) is poised to fundamentally transform radiation medicine, with growing influence across clinical decision-making, workflow...
BACKGROUND: Although fibroblast growth factor receptor (FGFR) inhibitors (FGFRi) have demonstrated clinical promise, the inevitable emergence of acqui...
ETHNOPHARMACOLOGICAL RELEVANCE: Artemisiae Scopariae Herba (ASH) is traditionally used to treat cholestatic liver diseases and exhibits anti-tumour po...
BACKGROUND: Operator-dependent laboratory tasks-embryo selection, vitrification and warming, and intracytoplasmic sperm injection (ICSI)-have been the...
Serratia sp. are opportunistic Gram-negative bacteria capable of forming robust biofilms and expressing a wide range of quorum sensing (QS)-regulated ...
Conventional artificial intelligence has achieved remarkable feats in identifying associations and predictive patterns, yet its limitations in causal ...
This study investigates the role of complementary clusters of human resource management (HRM) practices in explaining the persistent productivity vari...
BACKGROUND: Exposure to traffic-related air pollution has been associated with impaired lung function in children, yet heterogeneity in susceptibility...
Joint music-making and conversation are two fundamental forms of human interaction. A growing number of hyperscanning studies have examined interperso...
Robot-assisted surgery has become an important component of modern urologic practice, and the emergence of alternative robotic platforms has accelerat...
Brain tumors represent a major global health challenge, and accurate classification of brain tumors is essential for effective diagnosis and treatment...
BACKGROUND: Postoperative upper-limb morbidity following breast cancer treatment is common and clinically significant, encompassing pain, functional i...
Perfluorooctane sulfonate (PFOS), a persistent member of the per- and polyfluoroalkyl substances family, has been increasingly associated with adverse...
Gastrointestinal (GI) diseases such as polyps, esophagitis, and ulcerative colitis pose significant diagnostic challenges due to subtle visual pattern...