Latest AI and machine learning research in health policy for healthcare professionals.
OBJECTIVE: Substance use disorder (SUD) is clinically under-detected and under-documented. We built ...
This manuscript examines the expanding role of population health strategies in neurology, emphasizin...
Artificial intelligence (AI) is rapidly gaining attention in radiology and cardiology for accurately...
Chronic kidney disease (CKD) is a major public health problem worldwide associated with cardiovascu...
BACKGROUND: Open-access scientific research is an essential source of health-related information and...
BACKGROUND/ AIMS: The lack of context for anterior segment optical coherence tomography (ASOCT) meas...
Current traceability systems rely heavily on external markers which can be altered or tampered with....
PURPOSE: Balancing quality and efficiency has been a challenge for online adaptive therapy. Most sys...
BACKGROUND: Rural health care providers face unique challenges such as limited specialist access and...
BACKGROUND: Recently, there have been active proposals on how to utilize large language models (LLMs...
Keemun black tea, a renowned Chinese black tea, presents challenges in quality assessment due to var...
INTRODUCTION: Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain u...
Quantitatively measuring human mental states that profoundly affect cognition, behavior, and recover...
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for ...
This study explores a low-cost sensor system for real-time algae bloom detection and water managemen...
Background The integration of large language models (LLMs) such as GPT-4 into healthcare presents po...
Captured retinal images vary greatly in quality. Low-quality images increase the risk of misdiagnosi...
BACKGROUND: In recent years, expectant and breastfeeding mothers commonly use various breastfeeding-...
This article addresses the pressing question of how advanced analytical tools, specifically artifici...
Women with disabilities face significant barriers in accessing maternal healthcare, which increases ...
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia, affecting up to 2 % of t...