The Kinked Wire Episode 41: The current and future role of artificial intelligence in interventional radiology
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May 23, 2023 Julius Chapiro is an interventional radiologist renowned for his innovative work integrating AI in liver cancer treatment. He shares insights on how AI is transforming decision-making in interventional radiology, enhancing efficiency while supporting human expertise. The discussion reveals challenges in data collection due to regulations and the need for comprehensive registries. Chapiro emphasizes the potential for interconnected medical data and the importance of collaboration in advancing AI applications for improved patient outcomes.
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AI's Role in IR
- AI's role in interventional radiology (IR) is less clear than in diagnostic radiology due to IR's diverse tasks.
- AI will assist IR tasks like image guidance and workflow support, but likely won't replace interventional radiologists.
AI Research Growth
- A 2018 JVIR paper on AI in IR, co-authored with Aaron Abasi, received significant citations, revealing other groups working on similar research.
- Much of this research originates in China due to their large datasets and patient cohorts.
Data Sharing Challenges
- HIPAA and the lack of a central data registry hinder the development of robust AI models in the US by isolating hospital data.
- A collaborative, society-driven effort or legislation may be needed, but the latter seems unlikely given current privacy laws.