RadCast

Update as per 01/09/24: we have been contacted by the Chair of the FRCR 2B who has kindly given us some further information (thank you for reaching out). The proposed changes to the rapids will unlikely be before June 2025. Also, the option to "bank" passes in individual components of the 2B will not be going ahead.

Welcome to our second video podcast (or is it vidpod or podvid?),

We are back!

This month we speak to Dr Salman Qureshi who is a Consultant Head & Neck Radiologist at Sheikh Shakhbout Medical City/Mayo Clinic in Abu Dhabi, having formerly held consultant posts in Qatar and Manchester. We discuss his enthusiasm for medical education and how this takes him all over the world delivering lectures on the global conference circuit. We also take a slight detour from our usual theme to discuss Salman's newfound passion for walking, which has sparked a lifestyle and body transformation that he hopes to share with the world through social media.

This month we chat to Dr Dan Fascia who is a Consultant Musculoskeletal Radiologist, Regional Clinical Director of the Yorkshire Imaging Collaborative and Chair of the RCR Informatics Committee. We discuss the ideal tech set-up for radiologists, the current state of AI adoption in the NHS and beyond with tools like Chat GPT. We also discuss his various entrepreneurial/educational ventures including Pacsbin and Radiology Masters.

This month we chat to Dr Rahil Kassamali, a British Interventional Radiologist who in 2020 quit the NHS and took up a post at Hamad Medical Corporation, Qatar. IR is often neglected in discussions around Radiologists working abroad so he gives us a great insight into how made the switch and whether he would recommend it to others. His experience of working in a public healthcare system in Qatar also provides an interesting contrast to our episode 52 guest, Umi's, experience of working in private healthcare in Dubai.

In this episode we speak to Dr Michael Bernstein who is an Experimental Psychologist and Assistant Professor in the Department of Diagnostic imaging at Warren Alpert Medical School, Brown University, USA. Along with team at the Brown Radiology Human Factors Lab, he conducted a fascinating study that reveals how radiologists have a tendency to follow AI prompts, even when they are incorrect. We discuss the implications of this for patient care as clinical AI adoption increases, and what can be done to mitigate this phenomenon. Check out the full study here: https://link.springer.com/article/10.1007/s00330-023-09747-1