Research

Themes

Trustworthy, transparent AI methods for clinical settings
Human factors, simulation, and evaluation
Decision support and workflow integration
Safety metrics, audit, and governance

Projects

Understanding AI integration in dermatology

Ethnographic study at Oxford University Hospitals NHS Foundation Trust on how AI fits dermatology practice, aligned with the NHS 10‑year plan.

Focus: feasibility, acceptability, and clinical need (the “applicability of AI”).
Methods: observations, interviews, focus groups, and co‑design with clinicians; guided by the In‑Situ System Observation Guide (I‑SOG).
Outcomes: workflow fit, clinician trust, and adoption barriers and enablers.

AI‑assisted assessment in VR paediatric training

We explore a Human–AI Collaboration (HAIC) approach to assessing medical students in VR paediatric emergency simulations. The system auto‑grades clear performances and flags ambiguous cases for expert review, aiming for scalable, consistent, and objective skills assessment with high‑quality feedback.