AI and Medical Imaging

Follow in the path of former students who have embraced 230 years of teaching excellence. Driven by the promise of 'leading the world to better health', RSCI has been at the forefront of international healthcare education since our establishment in 1784, and we have a worldwide reputation for delivering excellent Undergraduate and Postgraduate health professions education.

RCSI's singular healthcare focus is evident through all our programmes, offering innovative, insight-rich and immersive development opportunities for both current and future leaders in healthcare.

This course will equip you with a comprehensive understanding of the AI and Medical Imaging. By the end of the course participants will be better able to: 

• Outline the concepts underpinning artificial intelligence in its analysis of medical images.
• Articulate the potential of artificial intelligence in healthcare and growing utilisation in medical imaging.
• Illustrate the ethical challenges and mitigation strategies in the use of artificial intelligence in healthcare.
• Appraise international approaches to the regulation of artificial intelligence for medical imaging.
• Examine responsibilities and key considerations of deploying artificial intelligence in medical imaging.

This course will benefit healthcare professionals, such as radiologists, medical imaging technicians, healthcare administrators, and anyone interested in understanding the basic role and impact of artificial intelligence (AI) in medical imaging.

• Week 1: In week one, participants will delve into the introduction and fundamentals of AI, AI development in context, and the implications for medicine and society.
• Week 2: In week two, participants will explore the key building blocks for AI in image analysis, including big data, algorithms, layered filtering of image data, and the utilisation of convoluted neural networks.
• Week 3: In week three, participants will engage with the application of AI in medical imaging, covering its development and growth, how AI is applied in this context, and exploring examples of use along with their implications.
• Week 4: In week four, participants will immerse themselves in discussions surrounding the ethics of AI, AI regulation in healthcare & medical imaging, reflections on ethics regulation, oversight, safety, clinical governance of AI, stakeholder liabilities, care delivery, and the international context.
• Week 5: In the final week, you will reflect on your learning and develop a personal action plan, focusing on actionable and applicable changes tailored to your specific workplace and context.

This five-week course offers a dynamic blend of synchronous and self-paced learning activities, allowing you to study at a pace that suits your lifestyle. The course includes four weeks of teaching followed by a final week dedicated to completing your personal learning plan. Learning content is delivered primarily through interactive activities, discussions, self-directed study, and a 90-minute live session. If you're unable to attend the live session, don't worry – these webinars are recorded and accessible at any time for your convenience.

Continuous feedback and guidance will be provided throughout the module, helping you stay on track with weekly milestones and preparing you for your personal action plan.

We understand that online learning might be a new experience for some. Our virtual learning environment (VLE) is intuitive, accessible, and easy to navigate. A dedicated programme coordinator is available to assist with any technical difficulties or specific questions about learning online. At the start of the course, short orientation videos will introduce you to the platform and course format, ensuring a smooth and engaging learning experience.

John Duignan 

John Duignan is currently working as a Musculoskeletal Radiology Fellow at Vancouver General Hospital. He previously worked as a Consultant Radiologist at Beaumont Hospital in Dublin. He holds a master’s degree in Artificial Intelligence for Medicine and Medical Research from University College Dublin.

His main interest is in taking an evidence-based practical approach to commercially available artificial intelligence healthcare tools. He hopes that this course will help participants progress through Gartner’s hype cycle to the 'plateau of productivity'.

Upon successful completion of this course, participants will receive a RCSI Completion Certificate. Achieving this Certificate and earning continuous professional development (CPD) points involves passing weekly MCQs, engaging in online discussions, and participating in reflective exercises, including the completion of a personal action plan. These components are designed to be flexible, allowing you to progress at your own pace while ensuring a comprehensive learning experience.

Although this course does not carry credits as per the European Credit Transfer System, it upholds rigorous quality assurance standards to provide an excellent educational experience. The course has been approved by the RCSI Professional Development and Practice Committee and is accredited for CPD points in line with the Irish Medical Council guidelines. Participants seeking recognition in other jurisdictions should verify the applicability of these CPD points as per their local requirements.

Note: RCSI accepts no obligation to refund any fee, or part thereof, in respect of a participant who chooses to withdraw from or does not complete a course.