Publications by authors named "Conor Hardacre"
Objectives: There is emerging use of artificial intelligence (AI) models to aid diagnostic imaging. This review examined and critically appraised the application of AI models to identify surgical pathology from radiological images of the abdominopelvic cavity, to identify current limitations and inform future research.
Design: Systematic review.
Introduction: The application of artificial intelligence (AI) technologies as a diagnostic aid in healthcare is increasing. Benefits include applications to improve health systems, such as rapid and accurate interpretation of medical images. This may improve the performance of diagnostic, prognostic and management decisions.
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- The study conducts a systematic review to evaluate how artificial intelligence (AI) can be used in cross-sectional imaging for diagnosing acquired pulmonary arterial hypertension (PAH).
- A total of three retrospective observational studies were analyzed, showing high accuracy in AI models applied to cardiac MRI, with one model achieving an area under the curve (AUC) of 0.97 for idiopathic PAH.
- The findings suggest that AI could provide effective, non-invasive support in diagnosing PAH, though more research is needed in this field for improved early detection and application in other imaging methods.