AI fundamentals for imaging and healthcare
| View Website → | 17 March 09:30 - 15:30 - Virtual Event |
| RCR CPD Approved |
Build your foundation for confident, safe use of AI in clinical practice
Artificial Intelligence is transforming modern imaging and healthcare, from automating image analysis to supporting complex diagnostic decisions. Given that many hospitals already deploy AI tools that directly influence your workflow, foundational AI knowledge is no longer optional – it’s essential. Our AI Fundamentals in Imaging and Healthcare course gives you the essential foundation to understand how AI works, where it’s making an impact, and what risks and limitations you need to look out for.
Key dates for your learning journey:
| From 17 February 2026 | E-learning modules available to participants (please allow 6 hours) |
| Monday 16 March 2026 | Registration closes at 9.00 am |
| Monday 16 March 2026 | All pre-course e-learning materials must be completed by attendees |
| Tuesday 17 March 2026 | Live online learning day begins at 9.30 am |
View the programme and register your place.
Why you should attend
- AI is here now: know what’s behind the AI tools you encounter everyday.
- Protect patient safety: spot and mitigate potential issues and bias in AI models before they affect patient diagnosis or care.
- Lead the conversation: gain the confidence to discuss AI trends, applications and ethical implications with colleagues and stakeholders.
Learning outcomes
You will be introduced to AI in radiology and healthcare and the fundamental concepts when creating an AI algorithm. By the end of this course, you will be able to:
- Describe the fundamental principles of AI and explain how these technologies are applied in radiology and healthcare settings.
- Identify and compare various AI techniques, outlining their advantages and disadvantages, and justify the use of these methods for specific applications.
- Describe the core steps involved in creating AI models, with particular emphasis on data gathering, annotation, and the significance of data management and security.
- Recognise the challenges associated with open-source datasets and evaluate how bias and unintended outcomes can potentially influence AI models.
Who should attend?
This course provides the essential foundation for confidence and safe use of AI for:
- Clinical radiology consultants and resident doctors (including veterinary radiologists)
- Clinical oncology consultants and resident doctors
- Radiographers
- Medical physicists
- Clinical imaging informaticists
- Heads of clinical departments and service managers
- Healthcare clinicians at any level of training or experience who want to understand the fundamentals of AI working in the UK and globally
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