Try for free
BackTable Vascular & Interventional
BackTable Vascular & Interventional

Ep. 600 Exploring Artificial Intelligence Utility in Endovascular Procedures with Dr. Emil Cohen

23 December 2025 57:20 BackTable

Listen to episode

About this episode

OpenEvidence was founded in 2022. In just 3 short years, it has become a household name amongst aspiring and established healthcare providers. AI-based tools are now being used to augment workflows, improve productivity, streamline busy work, and assist with clinical decision making. Is AI coming for our jobs? Time will tell. But in the meantime, you can (and probably should) use it to enhance yours. In this episode of BackTable, computer scientist and interventional radiologist Dr. Emil Cohen joins Dr. Chris Beck to share how he’s integrated AI tools into his IR practice.


---


SYNPOSIS


Dr. Cohen and Dr. Beck discuss both the advantages and key limitations of AI resources and tools like OpenEvidence and ChatGPT. They also explore application of AI in daily workflows, structured reports, procedural guidance, and predicting outcomes. Dr. Cohen dives into integrating AI to solve clinical problems and enhance existing technology, such as maskless subtraction angiography and rotational cone beam CT. Finally, Dr. Cohen speaks on the claim of AI replacing interventional radiology, informing those that are nervous about artificial intelligence.


---


TIMESTAMPS


00:00 - Introduction
05:09 - Computer Science and Medicine
09:37 - AI Fundamentals for IRs
17:59 - Practical Applications of AI in IR
28:14 - The Value and Risks of Patient Data
31:22 - Developing Advanced Imaging Techniques
34:16 - Maskless Subtraction Angiography
40:29 - AI in Clinical Problem Solving
45:55 - The Future of AI in IR
49:51 - Getting Involved with AI and Volunteering
53:01 - Final Thoughts and Resources


---


RESOURCES


No Mask Subtraction with AI:
https://www.smartangio.com/bone_subtraction/

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 BackTable Vascular & Interventional. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support