Latest AI and machine learning research in health policy for healthcare professionals.
IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scribes in medicine, the extent to which they are associated with clinician practice is not well studied. OBJECTIVE: To characterize differences in documentation and treatment of psychiatric symptoms in primary care outpatient notes generated using ambient scribes compared with human or no scribes. DESIG...
Artificial intelligence (AI), including deep and traditional machine learning, holds great promise for advancing biomedical research and healthcare. However, most AI studies remain academic in nature and rarely transition into clinical practice, largely due to limited access to diverse real-world datasets. Centralized learning, the traditional approach to multi-institutional collaboration, is hind...
Hard-to-heal wounds are a growing human and financial concern, constituting approximately 1-3% of the healthcare budget. Wound care is not a medical s...
INTRODUCTION: Understanding how patients and health care professionals seek and interpret health information online helps to mitigate knowledge gaps a...
PURPOSE: Maternity care is a central component of any healthcare system and is largely provided by midwives. Considering increasing cost pressures and...
BACKGROUND.—: Cardiovascular risk estimation for life insurance underwriting relies on risk estimation from conventional metrics: age, sex, smoking st...
Lung cancer is the leading cause of cancer-related mortality worldwide, with most patients diagnosed at advanced stages. Early detection through scree...
Sepsis is a major global health crisis where early recognition and effective management remain significant challenges for healthcare systems. As part ...
The health of children may be adversely influenced by the air quality in schools because they are more sensitive to indoor air pollutants. PM10, which...
INTRODUCTION: Long-acting reversible contraceptives (LARCs) are critical for reducing maternal mortality and unintended pregnancies, yet adoption rema...
The Internet of Things (IoT) and cloud computing (CC) concepts are commonly incorporated in healthcare applications. In the healthcare industry, a hug...
BACKGROUND: Effective communication is fundamental to health care; however, demographic transitions and a widening global health workforce gap are int...
Human-centered artificial intelligence (AI) is increasingly recognized as important to advancing quality, safety, and trust in healthcare analytics, y...
OBJECTIVE: To examine the influence of the emerging use of generative artificial intelligence (GenAI) within electronic health records and among the p...
PURPOSE: Biocompatible collagen membranes (CM) are widely used in regenerative dentistry, particularly in guided tissue regeneration (GTR) and guided ...
BACKGROUND: Artificial intelligence (AI) is receiving growing attention in psychiatric practice, yet psychiatrists vary considerably in how they perce...
Recent geopolitical developments influence trade flows and risk exposure of shipping. This comprehensive study based on 45.2 million estimates of the ...
INTRODUCTION: Sarcomas are rare, molecularly diverse malignancies that challenge accurate diagnosis and effective therapy. Japan has implemented natio...
OBJECTIVES: Besides clinical examination, cranial CT plays a critical role in diagnostics in neurosurgery. In trauma cases or perioperatively, having ...
Healthcare is among the fastest growing sectors utilizing artificial intelligence to improve efficiency, quality and accessibility to services. In par...