Latest AI and machine learning research in health policy for healthcare professionals.
INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), latent autoimmune diabetes in adults (LADA) and other specific types due to other causes remain under-recognised, especially LADA, given the absence of a standardised definition. In the province of Quebec (Canada), no population-based prevalence and in...
Cerebral aneurysm rupture is strongly associated with localized hemodynamic abnormalities, particularly in aneurysms containing surface blebs that represent structurally weakened regions of the vessel wall. Although computational fluid dynamics (CFD) provides detailed insight into aneurysm hemodynamics, its high computational cost limits its application in rapid patient-specific risk assessment. T...
BACKGROUND: Gestational diabetes mellitus (GDM) affects 1-in-7 pregnancies globally and is associated with significant short- and long-term health con...
Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven by the convergence of alcohol and metabolic-associa...
BACKGROUND: Recent NIH Data Management and Sharing (DMS) policy updates and NIH controlled-access data security requirements have increased attention ...
The global energy transition and ongoing electricity market reforms require power grid enterprises to balance reliable power supply with increasingly ...
Robot-assisted colorectal cancer resection (RACR) has emerged as a preferred surgical approach for mid-to-low rectal tumors, yet patients often strugg...
INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...
BACKGROUND: Ghana's imaging services face rising demand, uneven digital infrastructure, and limited access to advanced modalities. Artificial intellig...
Childhood visual impairment and blindness remain major public health concerns in low- and middle-income countries (LMICs), despite a substantial propo...
OBJECTIVE: Outpatient radiology appointment no-shows delay timely diagnosis and exacerbate healthcare disparities, while also resulting in a significa...
BACKGROUND: Nepal offers a distinctive LMIC setting for evaluating AI-health adoption due to its difficult geography, specialist shortage, high case b...
Global biodiversity is declining, driven by multiple, interacting pressures including the 5 most prominent of resource use, habitat loss, invasive spe...
PURPOSE: To evaluate the quality and accuracy of YouTube videos regarding PET/CT radiation safety and to assess the feasibility of using a Large Langu...
BACKGROUND: Internet-based cognitive behavioral therapy (iCBT) is an effective and scalable alternative to face-to-face psychotherapy, but its reach i...
BACKGROUND: AI is increasingly being integrated into cancer screening, treatment, and patient care. However, AI adoption across cancer centers varies,...
BackgroundToilet training is a critical developmental milestone that may have long-term implications for children's psychosocial development if improp...
BACKGROUND: Health care systems face growing fiscal pressure while AI reaches clinical parity in several domains. UK National Health Service expenditu...
BACKGROUND: Refugees and forcibly displaced populations experience elevated rates of mental health conditions, including posttraumatic stress disorder...
INTRODUCTION: Computed tomography (CT) scan range planning is a modifiable determinant of radiation exposure but remains highly variable in clinical p...