OVERVIEW

Clinical Radiology Artificial Intelligence (AI): Blended Learning Course is organized by The Royal College of Radiologists (RCR) and will be held on May 20, 2025.

Description:
We are thrilled to announce the return of our new blended learning programme combining the experience of virtual peer-to-peer learning in our interactive workshop with online self-paced e-learning material for a seamless and complementary flow of learning. 

This course is designed for radiologists and allied healthcare professionals. Whether you’re just starting your AI journey or have some level of experience, this course is for anyone looking to gain a global overview of Artificial Intelligence (AI) in radiology and what it means for the speciality. 

Ahead of the workshop, participants will receive access to two interactive e-learning modules. Each module offers 2-3 hours of in-depth learning. Then elevate your knowledge and network with peers at our exclusive workshop on 17 January 2025, led by industry leading AI experts in the field of radiology.

Learning Objectives:
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: 

  • Gain an understanding of the fundamental principles that form the basis of AI 
  • Be able to describe various AI techniques and their advantages and disadvantages, as well as justify the use of these methods 
  • Acquire basic knowledge of how AI models are created, with a particular focus on data gathering, annotation, and the importance of data management and security 
  • Understand the challenges associated with open-source datasets, be aware of AI grand challenges, and understand how bias and unintended outcomes can potentially affect AI models. 

KEY DATES

Event Start Date
20 May, 2025
Event Start Date
Event End Date
20 May, 2025
Event End Date
Credits

CPD Credits: 12

  • 12 CPD Credit
  • TARGET AUDIENCE

    PhysicianCliniciansRadiologistsConsultantsAllied health professionalsFellowsInterventional RadiologistsTrainees

    SPECIALITIES

    RadiologyHealthcare Technology

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