The event, which was organised by Insigneo Member Dr Samer Alabed, Senior Clinical Research Fellow from the School of Medicine and Population Health, featured two streams of sessions: a mainstream covering multimodality cardiovascular imaging topics and a “Read with Experts” stream designed for interactive learning.
The programme featured eminent speakers across sessions including coronary, post-intervention, congenital heart disease and multi-modality imaging and had the presence of international key speakers.
There was strong representation from Insigneo members at the event with talks from:
- Dr Samer Alabed, School of Medicine and Population Health) - Welcome Speech featuring Sheffield’s contribution to cardiopulmonary medicine in the past and present
- Dr Rebecca Gosling, School of Medicine and Population Health - Patient diversity in coronary imaging - Age, sex and ethnicity
- Dr Andy Swift & Prof David Kiely, School of Medicine and Population Health - MDT LIVE - Imaging guiding Pulmonary Vascular Disease Management
- Dr Laura Saunders, School of Medicine and Population Health - The future of imaging! Hyperpolarised gas and lung MRI with xenon - how different frequencies allow us to see the xenon and identify pathology
- Dr Mahan Salehi, School of Medicine and Population Health - AI in teaching and presentations - Human Learning
- Dr Paul Morris, School of Medicine and Population Health - chair of the coronary imaging session
- Dr Chen Chen, School of Computer Science -the role of trustworthy AI for cardiac imaging- from workflow streamlining, acquisition and reconstruction to analysis and monitoring therapeutic effects.
The BSCI Young Investigator Award was awarded to Dr Krit Dwivedi from the School of Medicine and Population Health for his oral presentation on “Identification of high-risk patients and treatment targets in pulmonary arterial hypertension using artificial intelligence-derived right ventricular remodelling pattern”. Ze Ming Goh from the School of Medicine and Population Health had the highest rated abstract accepted for presentation.
