Latest AI and machine learning research in us health policy for healthcare professionals.
PURPOSE: While point-of-care ultrasound (POCUS) has been integrated into daily practice by general practitioners (GPs) in some countries, there is a paucity of literature documenting its use by Chinese GPs. Additionally, artificial intelligence (AI)-assisted diagnosis is increasingly applied to imaging equipment. This study aims to explore the diagnostic performance of GPs in carotid plaque detect...
Artificial intelligence (AI) is increasingly integrated into neuroradiology practice, with a growing number of FDA-cleared algorithms now supporting tasks ranging from acute triage to volumetric analysis. This review provides a structured overview of commercially available, FDA-regulated AI tools in neuroradiology, organized by clinical application. These include detection and prioritization of in...
Rapid integration of Large Language Models (LLMs) into healthcare has exposed a critical disconnect between technical performance and clinical value. ...
Thermostability is crucial for protein engineering, but experimental determination of melting temperatures is costly and time-consuming. Most existing...
BACKGROUND: Medical radiation science (MRS) research faces a growing asymmetry between a small body of high-rigour, statistically robust studies and a...
Bacteria use antagonistic interbacterial weapons, such as polymorphic toxin secretion systems (TSS), to compete for niches in the human gut microbiome...
Health care is undergoing rapid change due to digitalization, artificial intelligence, data-driven decision-making, and shifting patient needs. These ...
Machine learning (ML) has great potential in healthcare, especially with large structured data. Routine health insurance claims (HIC) data are a valua...
Artificial Intelligence (AI) is reshaping healthcare through data-driven medical technologies. While offering efficiency and personalization, these sy...
To understand the value and experience of using the da Vinci 5 (dV-5) robotic surgical system among early-adopting surgeons in the United States. In M...
BACKGROUND: To address the aging population in China, local governments began to encourage the establishment of formal care services and supplement in...
BACKGROUND: Preoperative identification of Luminal B breast cancer remains a clinical challenge. This study aimed to develop an ultrasound radiomics f...
Laughter-related dispositions, including gelotophobia (fear of being laughed at), gelotophilia (enjoyment of being laughed with), and katagelasticism ...
BACKGROUND: Fractional flow reserve derived from CT (FFR-CT) enables non-invasive functional assessment of coronary stenoses in patients with suspecte...
BACKGROUND: Lifelong learning (LLL) is increasingly important for health care professionals, particularly within the field of orthodontics, driven by ...
Artificial intelligence (AI) holds significant promise for transforming cerebral infarction care, yet its real-world performance across the entire dis...
OBJECTIVES: This study aims to develop and evaluate a trustworthy and ethical-by-design machine learning (ML) framework for predicting 5-year cancer s...
Artificial intelligence (A.I.) technologies are increasingly deployed across clinical care, yet reimbursement remains a major barrier to sustainable a...
BACKGROUND: This is Part II of a two-part series examining artificial intelligence (AI) in colorectal surgery. Part I established foundational concept...
BACKGROUND: Testing for Blood-Borne-Viruses (BBVs) such as the human immunodeficiency virus (HIV), hepatitis C virus (HCV) and hepatitis B virus (HBV)...