Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Accept all cookies Reject all non-essential cookies Find out more

Contact information


sajan.patel@msd.ox.ac.uk


Github


ORCID ID https://orcid.org/0000-0002-8029-498X


he/him

Websites

Sajan B Patel

MBBS BSc (Hons)

NIHR Academic Clinical Fellow in Digital Dermatology

  • NIHR Academic Clinical Fellow in Digital Dermatology
  • Internal Medicine Resident Doctor at OUH NHS Foundation Trust
  • Medical Teaching Associate at Green Templeton College

Dr Sajan B Patel is an NIHR Academic Clinical Fellow in Dermatology (Digital Theme) and Internal Medicine Resident Doctor at Oxford University Hospitals, and a Teaching Associate in Medicine at Green Templeton College, University of Oxford. His research focuses on applied artificial intelligence (AI) in dermatology and oncology, at the intersection of clinical medicine, data science, and translational AI. His work is particularly concerned with the development, evaluation, and safe clinical deployment of AI systems.

His research interests include:

  • Agentic and Generative AI

  • Multimodal Machine Learning

  • Synthetic Data Generation

  • AI Benchmarking and Evaluation

Sajan is involved in TrustedMDT, a multi-agent AI system developed by researchers at the University of Oxford to support cancer treatment planning in multidisciplinary team (MDT) meetings. Through a strategic collaboration with Microsoft and Oxford University Innovation, TrustedMDT has been integrated into Microsoft Teams and is being piloted at Oxford University Hospitals NHS Foundation Trust in 2026, evaluating the use of agentic AI in a clinically realistic tumour board environment using real patient data.

Within the wider TrustedMDT programme, Sajan leads the development of SOCRATES, a synthetic oncology dataset designed to support the clinical benchmarking and evaluation of AI systems for multidisciplinary cancer decision-making. The project aims to enable rigorous evaluation while addressing challenges surrounding access to clinical data, governance, and generalisability.

Sajan studied medicine at Imperial College London, where he also completed a BSc in Surgical Design, Technology, and Innovation. During his medical elective, he worked as an Associate at Boston Consulting Group (BCG), contributing to strategy and innovation projects for a global medical technology company. He subsequently completed the Academic Specialised Foundation Programme in Oxford before his appointment as an NIHR Academic Clinical Fellow in Dermatology.

Alongside his clinical and academic work, Sajan is an ambassador for Just Like Us, the LGBT+ young people’s charity.