BackTable Vascular & Interventional Ep. 600 Exploring Artificial Intelligence Utility in Endovascular Procedures with Dr. Emil Cohen
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Dec 23, 2025 Dr. Emil Cohen, an interventional radiologist and computer scientist, shares insights on integrating AI into healthcare. He discusses the dual nature of AI, highlighting both its benefits in workflow optimization and the risks of potential errors like "hallucinations." Emil explores practical applications like maskless subtraction angiography and the use of structured reports for better patient outcomes. He also addresses fears about AI replacing medical professionals, reassuring listeners that AI primarily serves to enhance capabilities rather than replace them.
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Learn Core AI Concepts And Tools
- Learn basic AI concepts like large language models, RAG, deep learning, and older machine learning to engage effectively with tools.
- Invest a little time in Python or a machine-learning certificate to make data analysis and project work far easier.
Use RAG But Verify Sources
- Use retrieval-augmented generation (RAG) systems to reduce hallucinations and get verifiable citations quickly.
- Always verify sources and study quality because models can over-emphasize small case series and miss retractions.
AI Is Google On Steroids For Quick Evidence
- AI tools like OpenEvidence can produce rapid, literature-backed ballpark answers that save 20–30 minutes of searching.
- Use them for quick decision support, questionnaires, and study prep but confirm details for clinical care.