The NHS Fellowship in Clinical AI Welcomes Cohort 5 in Thames Valley
We’re delighted to announce the start of Cohort 5 of the NHS Fellowship in Clinical AI across the Thames Valley region, welcoming three clinicians. Joining from diverse clinical backgrounds, these fellows will spend the next year embedded in real-world AI deployment projects learning how to develop, implement, and safely monitor these tools within NHS clinical pathways.

Here’s a closer look at who’s joining, what they’ll be working on, and why they signed up.
Applications for cohort 6 (August 2027-August 2028) will open in October 2026. For more information, please visit: https://www.nhsfellowship.ai/apply/.
Conor Malone — Specialty Trainee Doctor in Ophthalmology

Project: Artificial Intelligence–Enabled Triage Using Automated Ophthalmic Imaging in Emergency Eye Care, at Oxford University Hospitals NHS Foundation Trust
“This is an exciting opportunity to use new technology to improve the patient experience, support clinicians, and make our systems more efficient. I look forward to learning with a diverse group of colleagues from across the world, exploring how we can implement AI responsibly at scale.”
Tajwar Nasir — Specialty Trainee Doctor in Ophthalmology

Project: Scalable Medical AI for Radiology Transformation – X-Ray (SMART XR), at Oxford University Hospitals NHS Foundation Trust
“I’m thrilled to join the fellowship and gain real life experience in the deployment of AI technology. I’m looking forward to meeting with like-minded colleagues and experts in the field, and hope to utilise the skills and network I develop to drive digital transformation within my own field.”
Ashar Asif — Specialty Trainee Doctor in Clinical Radiology

Project: SAMURAI-Fracture, at Oxford University Hospitals NHS Foundation Trust
“I am delighted to have a place on the NHS AI Clinical Fellowship! With AI making headways within radiology, I am looking forward to understanding the steps involved in developing, deploying and monitoring AI in a safe and clinically effective way.”
Congratulations to all three fellows on the start of their fellowship. We look forward to following their progress as they work to bring safe, effective clinical AI into everyday NHS practice across Thames Valley.