AI in Radiation Oncology Episode 3

In the latest episode of our series on AI in Radiation Oncology, Liam Ghiam, MD, a member of ASTRO's AI Subcommittee, sits down with radiation oncology residents Nikhil Kotha, (Stanford), Alex Chen (UCSF), and Mitchell Parker (MSKCC) to discuss how AI is impacting radiation oncology residency training. Together, they explore the evolving role of AI and its specific impacts on training and workflows.

Episode metadata supplied by the publisher feed · Published Jul 8, 2026

Embed this episode

Attribution link and audio player

Ready to play

AI in Radiation Oncology Episode 3

0:00 25:19

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of RadOnc Report?

This episode is 25 minutes long.

When was this RadOnc Report episode published?

This episode was published on July 8, 2026.

Can I download this RadOnc Report episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!