Latest AI and machine learning research in risk management for healthcare professionals.
OBJECTIVES: To present a fully digital workflow for mandibular stabilization that reproduces the conventional articulator-based process within a virtual environment, integrating patient-specific three-dimensional (3D) datasets and artificial intelligence (AI)-assisted alignment. CLINICAL CONSIDERATIONS: The workflow involves registration of intraoral scans, cone-beam computed tomography (CBCT), an...
INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infectious diseases due to the increase in antimicrobial resistance, the scarcity of new antimicrobials, and the complexity of the healthcare system. The World Health Organization (WHO) recognized it as one of the main public health problems. To mitigate this issue, Antimicrobial Stewardship Programs (AS...
AIM: The aim of this study is to assess nurse practitioner students' perceptions and engagement with Isabel's artificial intelligence (AI) based diffe...
BACKGROUND: The status of the axilla remains a significant prognostic factor and influences adjuvant systemic and locoregional treatment choices in ea...
BACKGROUND: Epilepsy is a chronic neurological disorder marked by recurrent and apparently unpredictable seizures and associated with premature death,...
Herein, we report the first enantioselective functionalization of methylene cycloalkenes─an underexplored class of reactive 1,3-dienes. The process in...
BACKGROUND: The exponential growth of electronic health records (EHRs), together with the recent entry into force of the European Health Data Space (E...
Rigorous prediction and assessment of groundwater quality is a critical component of sustainable water resource management. In recent years, machine l...
INTRODUCTION: Artificial intelligence (AI) is increasingly integrated into radiology workflows, supporting tasks such as image reconstruction, patient...
PURPOSE: This study compared the effects of written versus visual patient education methods on patient anxiety, procedural comprehension, hemodynamic ...
A novel chemometric protocol integrating near-infrared (NIR) spectroscopy with advanced classification and regression models for the qualitative and q...
BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other sedative drugs can cause respiratory depression a...
BACKGROUND: The ethical, legal, and social issues accompanying the latest advancements in digital health technologies highlight the need to involve th...
The emergence of Autonomous and Connected Autonomous Vehicles (CAVs) has transformed the automotive landscape drastically over the past few years by o...
BACKGROUND: Emergency medical dispatch is a critical, high-stakes process where dispatcher decisions directly impact patient outcomes. While standardi...
INTRODUCTION: Aldosterone dysregulation (excess aldosterone production at the source within the adrenal glands) in the absence of primary aldosteronis...
BACKGROUND AND OBJECTIVES: Family caregivers face elevated risks for mental and physical health issues but have difficulty accessing informational and...
BACKGROUND: Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, w...
BACKGROUND: Ethics review of research and innovation activities face growing challenges due to rapid scientific and technological advances, interdisci...
AIM: To describe contemporary peer-reviewed literature on artificial intelligence in nurses' clinical decision-making. METHODS: An umbrella review of ...