Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND: Healthcare systems are increasingly implementing tools that aid the decision-making process of professionals. There is a clear need to develop evidence-based managerial guidelines for implementing electronic health records. This umbrella review aims to identify a parsimonious yet comprehensive set of factors that enhance the efficiency and effectiveness of electronic health records in ...
BACKGROUND: High-quality echocardiography is essential for accurate and reproducible assessment of cardiac functional indices, which are highly dependent on adequate image quality and proper probe alignment. An artificial intelligence (AI)-based approach may enable automated image quality assessment. AIMS: Our aim was to develop and internally validate an AI-based algorithm to predict image qualit...
PURPOSE OF REVIEW: While pharmacologic and device therapies have improved heart failure care in recent decades, age-adjusted rehospitalization rates r...
PROBLEM: Inequities in educational infrastructure, faculty availability, and access to continuing professional development contribute to variability i...
PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...
BACKGROUND: Postpartum haemorrhage (PPH) accounts for approximately 27% of maternal deaths worldwide and often requires blood transfusion, along with ...
OBJECTIVE: The American Board of Surgery In-Training Examination (ABSITE) assesses surgical resident knowledge, but manual analysis of program-wide da...
OBJECTIVES: We examine how hospital characteristics relate to clinical and operational artificial intelligence (AI) adoption and implementation stages...
Artificial intelligence (AI) is reshaping paediatric healthcare, offering new capabilities across diagnosis, monitoring and treatment personalisation....
PURPOSE: Social media is vital for improving healthcare access, especially among disadvantaged groups. During the COVID-19 pandemic, young breast canc...
OBJECTIVE: Ultra-Low-Field Magnetic Resonance Imaging (ULF MRI) offers low cost and portability but suffers from electromagnetic interference (EMI) in...
Seafood provides high-quality protein and essential nutrients but is highly susceptible to rapid postharvest deterioration. Conventional quality evalu...
Children with medical complexity (CMC) are defined by the presence of significant chronic health problems that affect multiple organ systems, often re...
BACKGROUND: Health systems are expected to reduce environmental impacts while preserving safe, continuous and equitable care. Artificial intelligence ...
BACKGROUND: Fully automated digital technologies, such as artificial intelligence (AI) and apps, provide a particularly promising way to promote and s...
BACKGROUND: Large language models (LLMs) have shown potential in medical text generation. Senior physician ward round records are critical documents w...
Artificial intelligence, particularly machine learning and deep learning, is a rapidly evolving field that is increasingly permeating all areas of mod...
The advancement of cutting-edge technologies such as the Internet of Things (IoT) and Deep Learning (DL) has transformed the Internet of Medical Thing...
BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assura...
Artificial intelligence is rapidly transforming healthcare delivery. Over the past decade, studies have increasingly demonstrated that healthcare AI s...