#32 - Accelerating radiology with AI - Amine Korchi - Radiologist

Radiology is the field of medicine that has experienced some of the most dramatic technological changes over the past decades. And given the record number of approvals for AI-based and machine-learning tools dedicated to radiology in Europe and the US (far ahead of all other medical specialties combined!), this trend is unlikely to slow down. Such rapid evolution can be attributed to the abundance of imaging data from clinical practice, and it already has a huge impact on the way radiologists work and care for patients. Faster workflows, enhanced diagnostic accuracy, and better informed clinical decisions… As we enter the era of multimodal AI models capable of simultaneously interpreting volumes of data from different formats (such as voice notes, images, videos, texts, etc.), we can only expect this evolution to accelerate even more in the coming months and years. As we seek to understand this transformation, we sit down with Amine Korchi, a Swiss radiologist, entrepreneur, investor, and renowned advocate for technological progress in radiology. In this eye-opening episode, Amine offers us a rich perspective on: the evolution of medical imaging, from static 2D images, through dynamic 3D, to AI the impact of AI on the training of physicians and their specialization current use cases of AI in radiology and their impact on patient care the barriers to its adoption and the fears AI raises among radiologists future developments of AI in radiology and their promises An episode to help us understand one of the major technological revolutions in medicine - and one we're far from seeing the end of! Timeline: 00:02:39 - Amine’s background as a radiologist, entrepreneur, and investor in clinical AI 00:06:10 - How radiology transformed over the past 20 years 00:13:43 - Is ultra specialization in medicine a good thing? 00:17:39 - Concrete use cases of AI in clinical radiology 00:21:50 - Barriers to AI adoption in radiology 00:27:44 - Future developments of AI in radiology 00:33:17 - The tasks that AI will replace in radiology 00:36:16 - Impact of AI on future radiologists’ training What we also talked about with Amine: Intravenous urography CT Scan Iseult MRI machine Tumor board GPT4-o Cerebriu Smart Reporting Gleamer Owkin Kicky Van Leeuwen Hugh Harvey Microlearning We mentioned with Amine some of the past episodes of the series: #1 - Measuring your arterial age to prevent heart diseases - Ted Baldwin - Imageens #16 - Making ultrasound portable to transform medical imaging - Ohad Arazi - Clarius As mentioned by Amine during the episode, you can learn more about the latest in radiology through The Imaging Wire newsletter or on Radiology Business. If you want to get in touch with Amine, you can do so via LinkedIn. If you want to give me feedback on the episode or suggest potential guests, contact me over LinkedIn or via email! And if you liked the episode, please share it, subscribe to the podcast, and leave a 5-star review on streaming platforms! 🙏 There’s now a bi-monthly newsletter around the podcast where you will be informed of the latest episodes and kept posted on the latest medical tech progress, subscribe here! Lastly, don’t forget to follow our activities on LinkedIn and our website!