#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
Other topics:
- Intravenous urography
- CT Scan
- Iseult MRI machine
- Tumor board
- GPT4-o
- Cerebriu
- Smart Reporting
- Gleamer
- Owkin
- Kicky Van Leeuwen
- Hugh Harvey
- Microlearning
Past episodes:
#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!
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