Special Session: AI in Echocardiography
Echocardiography is a cornerstone of cardiovascular diagnostics, providing crucial insights into cardiac structure and function. However, it remains highly dependent on operator skill and experience, leading to variability in image interpretation. The integration of AI into echocardiography holds transformative potential to standardise image acquisition, improve diagnostic accuracy, and enhance clinical workflows. This special session aims to bring together leading researchers, clinicians, and industry experts to explore the latest advancements and challenges in AI-powered echocardiography. Topics will include novel algorithms for image analysis, real-time AI-assisted imaging, automated diagnosis, and the ethical implications of deploying AI in clinical practice. Attendees will gain insights into state-of-the-art research and practical applications shaping the future of cardiovascular care.
Organisers:
- Professor Massoud Zolgharni, Intelligent Sensing and Vision, University of West London, Massoud.Zolgharni@uwl.ac.uk
- Professor Darrel Francis, Faculty of Medicine, Imperial College London
- Professor Xujiong Ye, Department of Computer Science, University of Exeter
- Dr Nasim Dadashi, Lecturer, Intelligent Sensing and Vision, University of West London
- Dr Faraz Janan, Senior Fellow, Faculty of Engineering, Imperial College London
Submission format:
Authors are encouraged to submit original research articles, reviews, or case studies. This Special Session welcomes both full length papers (12 pages plus up to 2 pages of references) and abstracts (up to 5 pages including references). Click here for detailed submission guidelines and templates.
Deadline:
All deadlines, including submission deadline and review timeline are the same as the main conference. Please follow this link to see all the Important Dates.
If you have any questions regarding this Special Session, please contact the organiser.