Artificial Intelligence Medical Compendium

Barrett esophagus (BE) is the only known histological precursor to esophageal adenocarcinoma (EAC). The incidence of EAC has risen significantly over the past 4 decades in the United States and other Western countries, and the prognosis of EAC remain... read more 

read more 

The commercialization of lithium‑sulfur (LiS) batteries faces fundamental issues from polysulfide shuttling to inefficient redox kinetics, compounded by the absence of systematic methods for catalyst design. Herein, we present a machine learning (ML)... read more 

BACKGROUND: Intracranial aneurysms (IA) are prevalent vascular lesions whose rupture causes subarachnoid hemorrhage with high disability and mortality. Although cell adhesion molecules help maintain vascular integrity, their roles in IA pathogenesis ... read more 

INTRODUCTION: Contamination of cereal grains by deoxynivalenol (DON) poses a significant threat to food safety. This toxic secondary metabolite, produced by F. graminearum, acts as a virulent factor to promote mycelium spread in plant tissue. Enzymat... read more 

Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful analytical tool for dye monitoring in environmental waters; however, challenges remain in resolving complex mixtures due to spectral overlap and limited signal reproducibility. To a... read more 

The study aimed to build a lightweight neural network model for Lycium barbarum provenance discrimination using hyperspectral imaging technology. Firstly, hyperspectral images (336.2-1038.8 nm) acquisition in 256 bands andregions of interest extracti... read more 

OBJECTIVES: To explore how artificial intelligence (AI) can improve the clinical and rehabilitation management of knee osteoarthritis (KOA), emphasizing the unique contributions of specialized nurses. DESIGN: A systematic review was conducted to exam... read more 

BackgroundThe integration of artificial intelligence (AI) and robotics into disability care presents transformative opportunities while simultaneously raising pressing ethical concerns. Issues related to autonomy, human dignity, and equitable access ... read more 

PURPOSE: To compare PET-derived metrics between digital and analogue PET/CT in hyperparathyroidism, and to assess whether machine learning (ML) applied to quantitative PET parameters can distinguish parathyroid adenoma (PA) from hyperplasia (PH). MET... read more