Websites
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TrustedMDT
AI Cancer Copilot
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Translational Dermatology Unit
Research Unit
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OxCAIRES
Oxford Clinical AI Research for Enhanced Safety
Colleges
Sajan B Patel
MBBS BSc (Hons)
Academic Specialised Foundation Doctor
- Academic Specialised Foundation Doctor at Oxford University and OUH NHS Foundation Trust
- Medical Teaching Associate at Green Templeton College
Dr Sajan B Patel is an Academic Specialised Foundation Doctor with a research focus on applied artificial intelligence (AI) in dermatology and oncology. His work sits at the interface of clinical medicine, data science, and translational AI, with an emphasis on the safe and clinically grounded deployment of AI systems.
He is involved in the TrustedMDT study, a multi-agent artificial intelligence system developed by researchers at the University of Oxford to support cancer treatment planning during 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 in 2026 at Oxford University Hospitals NHS Foundation Trust, representing one of the earliest deployments of agentic AI within a clinically realistic tumour board environment using real patient data.
Within the wider TrustedMDT programme, Sajan leads the development of the synthetic oncology SOCRATES dataset. This dataset supports clinical benchmarking and evaluation of AI systems for multidisciplinary cancer decision-making, while addressing challenges related to data access, governance, and generalisability.
Prior to moving to Oxford, he obtained his medical degree and a BSc in Surgical Design, Technology, and Innovation from Imperial College London.
Outside of his clinical and research work, Sajan is an ambassador for Just Like Us, the LGBT+ young people’s charity.
Recent publications
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296P The TrustedMDT multi-agent ai copilot for tumour boards: Protocol for a two-phase evaluation of performance, safety, and feasibility
Journal article
Soltan AAS. et al, (2025), ESMO Real World Data and Digital Oncology, 10, 100492 - 100492
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Characterizing Behaviors That Influence the Implementation of Digital-Based Interventions in Health Care: Systematic Review.
Journal article
Patel SB. et al, (2025), J Med Internet Res, 27
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Characterizing Behaviors That Influence the Implementation of Digital-Based Interventions in Health Care: Systematic Review (Preprint)
Preprint
Patel SB. et al, (2024)
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A comparison between augmented reality and traditional in-person teaching for vascular anastomotic surgical skills training
Journal article
Stoner R. et al, (2024), JVS-Vascular Insights, 2, 100032 - 100032
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SP11.8 Deep learning for performance assessment of laparoscopic sleeve gastrectomy (LSG): validation against objective structured assessment of technical skills (OSATS) and clinical outcomes
Journal article
Lam K. et al, (2023), British Journal of Surgery, 110
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ChatGPT: the future of discharge summaries?
Journal article
Patel SB. and Lam K., (2023), Lancet Digit Health, 5, e107 - e108
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Developing as health professionals through community volunteering: exploring the value of a partnership between medical students and primary schools online compared to in-person.
Journal article
Cardoso Pinto AM. et al, (2023), BMC Med Educ, 23
Websites
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Oxford-built multi-agent assistant for cancer care to be piloted in collaboration with Microsoft
University of Oxford release covering our work on Multi-agent AI Systems in cancer care
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From Code to Care: Empowering Healthcare with Agentic AI
Microsoft Ignite session on TrustedMDT