Fellowship Bio

Dr Kavitha Vimalesvaran is a Cardiology Registrar specialising in cardiac imaging and pursuing a PhD at Imperial College London. Her research focuses on developing AI-assisted clinical decision support systems to improve the efficiency of cardiac MRI. She works at the interface between data science and clinical medicine in the UKRI’s first cohort of AI in Healthcare Doctoral Training Programme.

Fellowship Project

Assess the clinical effectiveness in prioritising CT heads using AI (ACCEPT-AI)

Guy’s and St Thomas’ NHS Foundation Trust

The primary goal of this national, multi-centre randomised clinical trial is to evaluate the impact of qER (an AI-based software for non-contrast head CTs) on the report turnaround time of abnormal scans in patients presenting to the emergency department. Kavitha and her team recruited four sites across the UK, developed a detailed study protocol, determined the sample size, and established a robust data management plan. They are in the process of obtaining approvals and ethical clearances, as well as planning a health economic analysis.

Fellowship Testimonial

The fellowship provided me with the opportunity to lead a multi-centre randomized controlled trial, enhance my knowledge in clinical AI implementation under the guidance of world experts, and develop a versatile professional skill set to tackle complex healthcare challenges. This has improved my ability to contribute to the future of healthcare delivery using the skills acquired during this fellowship. I gained valuable insight into the technical challenges in implementing AI in healthcare and managing expectations from different stakeholders.

Links

Interview: Healthcare Digital
Panel discussion video: Health Education England