Abstract
This presentation evaluates SimPatient as a scalable technological intervention to mitigate the clinical education capacity crisis. Centred on the Scottish healthcare landscape, the session examines the integration of linguistic and demographic diversity within AI-driven simulation to enhance the authenticity of medical training. The discussion prioritises the core pillars of AI safety, specifically the reliability and robustness of generative models. Furthermore, initial research findings regarding pedagogical effectiveness are presented.
| Original language | English |
|---|---|
| Publication status | Published - 30 Jun 2026 |
| Event | Royal College of Radiologists Global AI Conference (AI 2026) - QEII Centre, London, United Kingdom Duration: 29 Jun 2026 → 30 Jun 2026 Conference number: 2 https://rcraiconference.com/2026?utm_source=CPD-page-events-banner&utm_medium=referral&utm_campaign=digital-internal%20-%20registrations%20-%20registration |
Conference
| Conference | Royal College of Radiologists Global AI Conference (AI 2026) |
|---|---|
| Abbreviated title | AI 2026 |
| Country/Territory | United Kingdom |
| City | London |
| Period | 29/06/26 → 30/06/26 |
| Internet address |
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