Latest AI and machine learning research in us health policy for healthcare professionals.
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer deaths, with early screening vital to reduce mortality. While methods such as colonoscopy and computed tomography (CT) colonography are available, they face challenges such as bowel preparation, invasiveness, and low adherence. We aimed to develop COCA (COlorectal Cancer detection with AI), a novel, noninvasive, cost-effective, and s...
Nearly 25 years ago, the Institute of Medicine (now the National Academy of Medicine), envisioned the concepts of a learning health system (LHS) as a path to reduce the discordance between scientifically demonstrable effectiveness of medicine and actual health care delivery by conscientiously leveraging the experiences, perspectives, and priorities of patients and frontline clinicians. Whereas man...
Organophosphate flame retardants (OPFRs), as emerging substitutes for halogenated flame retardants, are widely detected in populations and pose global...
BACKGROUND AND PURPOSE: Deviations in radiotherapy quality can significantly affect clinical trial outcomes, including overall survival. Radiotherapy ...
Gastric cancer is one of the malignant tumors with high incidence and mortality rates globally, with China ranking among the top 5 in both case number...
The implications of green value chain design for business performance are a central and highly relevant issue for companies. In this context, Digital ...
PURPOSE: As healthcare business organizations face mounting pressure from civil society to act responsibly, they are expanding and strategically restr...
New immigrants often face barriers when navigating the healthcare system, which can create unmet healthcare needs and contribute to health inequities....
INTRODUCTION: Industry funding for research is important in the era of decreasing federal research support. The goal of this study was to assess the t...
Over the past quarter century, crowdsourced forecasting has largely outperformed individual forecasters. Today, large language models (LLMs), aggregat...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming clinical practice, yet empirical evidence on Chinese physicians' acceptance of AI med...
Children with special health care needs and disabilities (CSHCND), particularly those with autism, experience disproportionately high rates of oral he...
BACKGROUND: Overdose rates in the U.S. rose dramatically during the COVID-19 pandemic. Well-documented racial and sociodemographic inequities in the i...
PURPOSE: The increasing use of artificial intelligence (AI) and large language models such as ChatGPT in healthcare has highlighted the need to unders...
To identify research topics in medical chatbots and analyze their temporal trends, geographic distributions, and journal preferences. Latent Dirichlet...
The ArteraAI Prostate Test (ArteraAI Inc.) is the first predictive biomarker for benefit of adding short-term androgen deprivation therapy (ADT) to ra...
BACKGROUND: The prognostic value of cardiac volumetry derived from non-contrast coronary calcium scoring CT (CSCT) remains uncertain. This study evalu...
BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a m...
OBJECTIVE: Timely, accurate referrals to head and neck cancer surgery are essential for survival but are often delayed or misrouted, contributing to l...
INTRODUCTION: Intensive care is under increasing pressure due to demographic changes, availability of new complex therapies, and workforce shortages, ...