Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
PURPOSE: To utilize a machine learning model for employing ultra-widefield fundus photograph (UWFFP)...
Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy, posing risks...
PURPOSE: To develop and evaluate a deep learning model that integrates ultra-widefield fundus photog...
BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensiti...
AIM: To examine the perinatal experiences of at-risk mothers and their engagement with mobile-health...
AIMS: To evaluate the artificial intelligence-assisted lymphedema education material in patients und...
OBJECTIVE: To evaluate the clinical utility of machine learning algorithms (MLAs) in diagnosing extr...
BACKGROUND: The integration of generative artificial intelligence (GenAI) into academic publishing p...
AIM: To synthesise the available evidence on the effect of artificial intelligence in promoting posi...
BACKGROUND: Early detection of cancer reduces mortality and morbidity, but conventional screening me...
OBJECTIVE: To provide a comprehensive summary of the controlled-access Age-Related Eye Disease Study...
PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models i...
AIMS: To (1) analyse managers' experiences with handling patient safety incident reports in an incid...
The integration of artificial intelligence (AI) and machine learning (ML) into laboratory medicine s...
BACKGROUND: Disclosure of AI use is seen as a sign of the author's honesty and commitment to the pri...
PURPOSE: Longitudinal validation of the artificial intelligence-based Notal OCT Analyzer (NOA) for i...
As highly autonomous mobile robots increasingly integrate into workplaces, they still require human ...
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diag...
The number of prediction models proposed in the biomedical literature has been growing year on year....
As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) ...
AIM: To examine the feasibility of using a large language model (LLM) as a screening tool during str...