An AI Copilot for Cancer Care, from Oxford University
TrustedMDT is an agentic copilot for tumour boards, integrating directly with the clinical workflow.
Agentic Cancer Care
TrustedMDT enhances clinical decision-making within a multidisciplinary team while keeping human expertise central. We're partnering with Microsoft and Oxford University Hospitals to perform one of the first clinical pilots of an agentic system in tumour boards, integrating with Microsoft Teams through the Healthcare Agent Orchestrator.
EHR Analysis Agent
Comprehensively analyses electronic health records across time to determine a patient's status in their cancer journey.
TNM Staging Agent
Provides intelligent, automated tumour staging using established international standards (AJCC/UICC).
Guideline-Driven Treatment Planning Agent
Delivers evidence-based treatment recommendations, grounded in the most current NCCN and ESMO clinical guidelines.
Microsoft Teams Integration
Accessible through a conversational interface in Microsoft Teams, through the Healthcare Agent Orchestrator, enabling real-time interactive support for the tumour board.
Project Team
PhD, MB BChir, MRCP
Lead Investigator
NIHR Academic Clinical Lecturer & Junior Research Fellow in Engineering
Oncologist and Engineer, leading TrustedMDT's technical development and clinical translation. He draws on a background in AI diagnostics, federated learning, and clinical deployment of real-time decision support tools. Dr Soltan designed TrustedMDT to solve a clinical challenge encountered in his clinical practise at Oxford University Hospitals.
Ed Phillips
MEng
DPhil Student in Engineering Science
Engineering doctoral student in the Computational Health Informatics group (Prof David Clifton) with an interest in AI-assisted clinical decision making. Ed collaborates on the development of TrustedMDT's treatment planning module.
Dr Sajan Patel
MBBS
Academic Foundation Doctor
Medical doctor and researcher interested in the use of machine learning in clinical decision support. Sajan supports TrustedMDT's clinical and workflow integration, as the team works towards an evaluation and pilot study in late 2025.
Dr Jaya Sharma
BMBCh, MA (Oxon)
Clinical Oncology Registrar
Clinical Oncology registrar in the Thames Valley and an Oxford graduate. Dr Sharma is passionate about improving cancer care and supporting the clinical integration and translational aspects of the TrustedMDT system.
Funders & Partners
TrustedMDT is made possible through the generous support and collaboration of our key partners.
Oxford University Hospitals NHS Foundation Trust
Microsoft Research
The Microsoft Research Accelerating Foundation Models Research Award provided the foundational computational resources for TrustedMDT's development.
TRUSTED-MDT: Supporting multimodal, multispecialty decision making in Cancer care; (2023, PI: Andrew Soltan).
National Institute of Health and Social Care Research (NIHR)
TrustedMDT is supported by an NIHR Academic Clinical Lectureship (Dr Andrew Soltan). Prior to this award, his post was partially supported by Prof. David Clifton and Prof. Mark Middleton. The project has additionally benefitted from data provided by the NIHR Health Informatics Collaborative for Colorectal Cancer (HIC CRC).
Microsoft Health & Life Sciences
Our strategic collaboration with Microsoft's HLS team is key to integrating TrustedMDT into the clinical workflow through Microsoft Teams and the Healthcare Agent Orchestrator. This partnership includes support with compute and data-labelling resources.
Senior Advisors
Professor David Clifton
RAEng Chair of Clinical Machine Learning & NIHR Research Professor, Department of Engineering Science.
Professor Mark Middleton
Professor of Experimental Cancer Medicine. Head, Department of Oncology. Consultant Medical Oncologist, Oxford Cancer Centre.