Latest AI and machine learning research in medicare for healthcare professionals.
OBJECTIVE: This study investigated that serum metabolomics, prior to ULT initiation, could serve as a biomarker for responsiveness to colchicine prophylaxis in patients with gout commencing treat-to-target ULT. METHODS: We studied a multicenter prospective cohort (n=409) initiating treat-to-target ULT plus colchicine prophylaxis. Untargeted metabolomics were measured at enrollment. We defined puta...
BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient levels of accuracy for clinical implementation but they present potentially serious ethical challenges. Overcoming such challenges for successful implementation of automated screening may depend on the perspective of the clinicians who are its intended users. METHODS: We conducted a qualitative study of ...
Device-to-device (D2D) communication is used to frequently gather and exchange information in various domains. Millimeter-wave research has also incor...
BACKGROUND: Chemoradiation therapy (CRT) is standard treatment for anal squamous cell carcinoma (ASCC). Abdominoperineal resection (APR) is usually re...
This study investigates global news media representations of cross-Strait relations from 2014 to 2023 using the GDELT database, framed within the medi...
BACKGROUND: Interstitial fibrosis (IF) is the strongest predictor of chronic kidney disease progression. Visual estimation of IF from trichrome (TRI)-...
Artificial intelligence-based in silico metabolite prediction tools are increasingly used in drug development, but their performance against high-qual...
BACKGROUND: Psychological distress, particularly symptoms of depression and anxiety (D&A), is highly prevalent among family caregivers of individuals ...
BACKGROUND: Large language models (LLMs) have fundamentally transformed approaches to natural language processing tasks across diverse domains. In hea...
IgA nephropathy (IgAN) is the most prevalent primary glomerular disease worldwide and a leading cause of end-stage kidney disease (ESKD). Its clinical...
Video datasets are crucial for advancing communication technologies for deaf and hard-of-hearing individuals. Despite that, extensive datasets are not...
The integration of ProSocial Artificial Intelligence (AI) represents a paradigm shift in prosthodontics, harmonizing cutting-edge technology with ethi...
BACKGROUND: Delays in dental care worsen oral disease and mirror broader inequities in health care access and use. OBJECTIVE: To estimate the 12-month...
OBJECTIVE: To develop a machine learning model to identify adult Expanded Food and Nutrition Education Program (EFNEP) participants at high risk of at...
The advent of long-axial-field-of-view (LAFOV) PET/CT systems has significantly improved whole-body imaging by providing higher sensitivity and extend...
BACKGROUND: As Singapore adopts a population health approach under Healthier Singapore (Healthier SG), optimizing healthcare resources is crucial. We ...
Reported instances of AI-assisted, blanket denials of coverage have increased in recent years, particularly for Medicare Advantage plans, resulting in...
PURPOSE: Accurate prediction of beam delivery time (BDT) is critical for operational efficiency, 4D dose calculations, and advanced proton therapy tec...
BACKGROUND: Despite progress in childhood vaccination, many children in low- and middle-income countries, including Ethiopia, remain unvaccinated, pre...
BACKGROUND: Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a complex, high-dimensional problem typically solved with ...