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AI in radiology: Interactive hands-on technical course

Developing self and supporting others | Innovation including research | Clinical impacts and solutions

Royal College of Radiologists
Royal College of Radiologists

oin us for our new one-day, in-person hands-on workshop, developed by the Royal College of Radiologists Clinical Radiology AI Faculty in partnership with King’s College London. Tailored for healthcare and biomedical professionals, our workshop explores the practical application of artificial intelligence in medical imaging. You'll demystify coding in practice and discover how AI can enhance radiological practice, gaining the skills to build, train and evaluate AI models. With expert guidance

  • Date (DD-MM-YYYY)

    25-10-2025

  • Application closing date

    25-10-2025

  • Time (GMT/BST)

    09:15 - 16:45

  • Address

    London, United Kingdom

  • CPD points/hours/credits

    6

  • Cost

    From £295.00

  • Education type

    On-site

  • CPD subtype

    Scheduled

Description

Who is the course for?

This course is ideal for radiologists, doctors, biomedical engineers, data scientists and other healthcare professionals who are:

  • Keen to apply AI in day-to-day clinical or research settings
  • Curious about AI technologies and want to understand how these tools work to evaluate AI tools, effectively plan implementation and assess the level of customisation or set-up required
  • Committed to clinical governance, to ensure AI tools are safe, effective and ethically deployed in healthcare settings
  • Eager to deepen their understanding of AI tools they work with, building confidence and technical knowledge
  • Interested in pursuing a research or medtech career, whether exploring new opportunities or collaborating with industry partners
  • Looking to connect and learn with peers

Learning outcomes:

  1. Gain hands-on experience with AI tools used in radiology and medical imaging
  2. Learn to become conversant in AI to influence or help build algorithms - apply, design and evaluate pre-trained AI models for detection, segmentation and classification
  3. Upskill in coding, demystify what coding involves and gain confidence with AI applications
  4. Understand AI model performance in medical imaging
  5. Recognise and understand model limitations and biases

Please note:

  • Delegates are required to bring a laptop and will be expected to actively participate in hands-on technical activities throughout the course 
  • Delegates will work in small groups throughout the day, with guidance and support from course tutors 
  • This course is in-person only and will not be recorded. 

Contact details