Fellowship Bio

Dr Jack Ross is a registrar in clinical pharmacology with a keen interest in digital health and medicines safety. He had the opportunity to lead the AoMRC report into AI in healthcare. Jack firmly believes that AI has the potential to bring about significant benefits to patient care. However, he also recognizes the importance of ensuring its safety and effectiveness, as with any medical intervention.

Fellowship Project

Radiomic evaluation of non-small cell lung cancer

Imperial College Healthcare NHS Foundation Trust

The main aim of the project is to train and test radiomic and machine learning models for analyzing CT-PET scans of patients with non-small cell lung cancer. The goal is to achieve more accurate risk stratification for these patients. Throughout the year, the project has evolved, relying on the roll-out of FLIP and AIDE platforms. A more autonomous pipeline has been developed, starting from the automated segmentation of lung cancers to detailed radiomic analysis and summary statistics. The team is analyzing local data and comparing the results to manual segmentations as well as published data from other sites. The ultimate objective is to replicate the findings on a federated platform in a multi-site trial once the platforms are fully operational.

Fellowship Testimonial

A brilliant part of this year has been the focus on self-development, working with the other Fellows in Clinical AI, improving my programming skills, and the lectures and seminars with experts from industry and regulators. I want to use AI to improve patient outcomes throughout my career, and to build on this fellowship with the network of clinical AI fellow alumni.

Links

Topol Fellowship profile