Latest AI and machine learning research in health policy for healthcare professionals.
Health care innovation is essential for improving patient outcomes, enhancing system efficiency, and preparing for future challenges; however, meaningful progress is often hindered by entrenched barriers such as resistance to change, fragmented interdisciplinary collaboration, and constrained financial and human resources. These persistent obstacles make it difficult for health care systems to tra...
Acute kidney injury (AKI) is a common hospital complication with substantial morbidity and mortality. Deep learning models for AKI prediction show strong development-cohort performance, but single-point evaluation fails to capture behaviour under continuous monitoring. We conducted a multi-centre retrospective study using electronic health records from three cohorts (n = 157,323 admissions): Natio...
There is a growing number of artificial intelligence (AI) models; however, few have made it into routine clinical practice to date. We describe the sy...
BACKGROUND: Digital health tools, particularly patient portals, can support caregiving, but there is limited understanding of how sociodemographic and...
OBJECTIVES: The automation of medical report generation using large language models (LLMs) could significantly reduce physicians' documentation burden...
Water is a critical natural resource for maintaining the stability of Earth's ecosystems and the sustainable development of human society and economy....
BACKGROUND: Digital emergency care applications offer potential to reduce delays, enhance triage, and improve care coordination, yet evidence remains ...
OBJECTIVE: To evaluate the effects of arm positioning and reconstruction algorithms on radiation dose and image quality of abdominal CT. MATERIALS AND...
OBJECTIVES: Over the last few years, with the introduction of advanced MR imaging techniques, increasing exam demand and the growth of multi-center cl...
In this article, we present a novel off-policy, safe reinforcement learning (RL) approach for nonlinear dynamical systems under input saturation that ...
BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enable...
BACKGROUND: The expansion of telehealth services, particularly during the COVID-19 pandemic, has transformed health care delivery in the United States...
BACKGROUND: Management of contacts to medical communication centers relies heavily on clinical judgment, contextual understanding, and communication s...
BACKGROUND: Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in...
BACKGROUND: Anterior segment diseases are a major global cause of preventable blindness, especially in regions with limited access to specialized opht...
Ear disease contributes significantly to global hearing loss, with recurrent otitis media being a primary preventable cause in children, impacting dev...
Stroke is one of the leading causes of disability worldwide with a disproportionately high burden in low and middle-income countries. In such countrie...
RATIONALE AND OBJECTIVES: To evaluate whether large language models (LLMs) can generate accurate, clinically valid, and usable letters to appeal insur...
BackgroundIntraoperative consultation using frozen sections has been crucial for guiding surgical decisions, but has often been limited by the time an...
Health information technology tools, including electronic health records, are ubiquitous in healthcare across the United States. Despite the promise a...