Publications by authors named "D H H Metcalfe"
Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study.
BMJ Open
September 2024
Introduction: Missed fractures are the most frequent diagnostic error attributed to clinicians in UK emergency departments and a significant cause of patient morbidity. Recently, advances in computer vision have led to artificial intelligence (AI)-enhanced model developments, which can support clinicians in the detection of fractures. Previous research has shown these models to have promising effects on diagnostic performance, but their impact on the diagnostic accuracy of clinicians in the National Health Service (NHS) setting has not yet been fully evaluated.
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- - Mastocytosis is a disorder characterized by an abnormal increase of mast cells in one or more organs, with varying symptoms and outcomes; it's classified into cutaneous, systemic, and MC sarcoma types by the WHO.
- - The disease often involves a specific mutation (D816V) in most systemic mastocytosis cases, affecting life expectancy significantly based on the type, with those having nonadvanced forms generally living near-normal lifespans, while advanced forms have limited life expectancies.
- - Recently, a group of experts proposed updated diagnostic criteria and classifications for mastocytosis, aiming to unify different classifications from previous organizations to improve research and clinical comparisons.
Background: Blood pressure monitoring is important in the pre-hospital management of critically ill patients. Non-invasive blood pressure (NIBP) measurements are commonly used but the accuracy of standard oscillometric cuff devices may be affected by extremes of physiology and adverse conditions (e.g.
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