Course overview
We are pleased to announce our next seminar series of 2026.
As artificial intelligence becomes increasingly embedded in radiology workflows, the real challenge lies not in the technology itself, but in deploying it safely, effectively, and at scale.
In this seminar, Dr Amrita Kumar, Radiology and AI Clinical Lead at Medica Group, shares practical, hard‑won lessons from bringing multiple AI tools into live clinical use across one of the UK’s largest teleradiology services.
This free-to-view seminar will be released as on-demand content on 28 July 2026.
Key highlights
By the end of this session, delegates will be able to:
- Describe the end-to-end governance framework required to deploy AI tools safely in a high-volume teleradiology environment, including risk stratification, vendor evaluation, and integration with existing clinical workflows.
- Identify current and pipeline AI use cases in production, including CT head triage, MSK fracture detection, chest X-ray, CTPA, and mammography, and evaluate the operational and clinical considerations for transitioning each tool from procurement to live reporting workflows.
- Evaluate the principles and practical methods of post-market surveillance for deployed AI, including performance monitoring and clinical feedback loops.
Drawing on operational, clinical, and governance expertise, this course explores what it really takes to move AI from concept to everyday practice. You’ll gain an inside view of Medica’s end‑to‑end governance framework, see how AI tools are evaluated and integrated into high‑volume reporting environments, and understand the considerations that determine whether an algorithm can meaningfully support radiologists.
With real examples across CT head triage, MSK fracture detection, chest X‑ray, CTPA, and mammography, this session provides a grounded, pragmatic look at current and emerging AI use cases. It also introduces the principles of robust post‑market surveillance, helping you build safe, effective feedback loops that monitor performance in real‑world clinical settings.
Ideal for imaging leaders, governance teams, and clinicians navigating the fast‑evolving AI landscape, this course offers clear frameworks, practical insights, and transferable learning you can apply within your own service.
This free-to-view seminar will be released as on-demand content on 28 July 2026.
1 CPD Point/CME credit can be claimed in accordance with the CPD Scheme of The Royal College of Radiologists.
Course programme
Learning outcomes
- Describe the end-to-end governance framework required to deploy AI tools safely in a high-volume teleradiology environment, including risk stratification, vendor evaluation, and integration with existing clinical workflows.
- Identify current and pipeline AI use cases in production, including CT head triage, MSK fracture detection, chest X-ray, CTPA, and mammography, and evaluate the operational and clinical considerations for transitioning each tool from procurement to live reporting workflows.
- Evaluate the principles and practical methods of post-market surveillance for deployed AI, including performance monitoring and clinical feedback loops.
Venue
Information
Ticket prices
| Seminar ticket | £0.00 |
| Medica reporter | £0.00 |