Latest AI and machine learning research in health policy for healthcare professionals.
The integration of medical open databases with artificial intelligence (AI) technologies marks a transformative era in biomedical research and health care innovation. Over the past 25 years, initiatives like PhysioNet have revolutionized data access, fostering unprecedented levels of collaboration and accelerating medical discoveries. This rise of medical open databases presents challenges, partic...
BACKGROUND: Simulation-based learning (SBL) has become standard practice in educating health care professionals to apply their knowledge and skills in patient care. While SBL has demonstrated its value in education, many educators find the process of developing new, unique scenarios to be time-intensive, creating limits to the variety of issues students may experience within educational settings. ...
BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This stud...
BACKGROUND: This study aimed to address the critical gap in the limited application of machine learning (ML) for identifying developmental delays in l...
INTRODUCTION: E-cigarette prevention campaigns face visibility and sustainability challenges on social media, where provaping content dominates, and c...
Lateral flow assay (LFA) is the most widely used point-of-care (PoC) diagnostic tools due to their simplicity, rapid turnaround, portability, and low ...
BACKGROUND: Identify the influencing factors that respectively affect the differences in cognitive function trajectories between China and the United ...
Artificial intelligence (AI) is increasingly integrated into plastic and reconstructive surgery. It supports preoperative prediction and imaging analy...
OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...
The increasing complexity of healthcare decision making and the demand for real-world evidence call for a transformation in how Medical Affairs depart...
BACKGROUND: Reduced field-of-view (rFOV) T2WI improves in-plane spatial resolution. Deep learning-based reconstruction (DLR) has emerged as enhancing ...
As artificial intelligence (AI) becomes increasingly integrated into healthcare decision-making, concerns arise regarding deference to AI systems. Whi...
This study aims to quantify environmental health impacts and assess risk by understanding the disproportionate burden of infectious diseases, specific...
Achieving humanlike dexterity with anthropomorphic multifingered robotic hands requires precise finger coordination. However, dexterous manipulation r...
BACKGROUND: Patients increasingly rely on short-video platforms for information regarding in vitro fertilization (IVF), yet the relationship between t...
BACKGROUND: The rise of generative artificial intelligence (AI) tools such as ChatGPT is rapidly transforming how people access information online. In...
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...
BACKGROUND: Predicting health insurance uptake remains a critical challenge for policymakers and insurance providers seeking to optimise coverage stra...
The widespread use of open-access datasets for validating machine learning (ML) models has raised critical concerns about data bias and model fairness...
Integrated health technologies (IHTs) have emerged as promising tools for improving heart failure (HF) management by facilitating care coordination an...