The MaML Podcast - Medicine & Machine Learning

Beth Beadle - AI and Radiation Oncology


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Beth Beadle, MD, PhD is the Director of Head & Neck Radiation Oncology at Stanford and co-creator of the Radiation Planning Assistant, a fully automated treatment planning assistant. 


00:56 How did you come to the intersection of medicine and AI?

03:20  What is radiation oncology and why does it fit well with AI?

05:54 How has radiation changed in your lifetime?

09:19 What is the Radiation Planning Assistant?

13:10 Describe radiation oncology workflow before the use of the radiation planning assistant

20:45  How does the model compare humans?

23:45 Where was the data source for the radiation Planning Assistant Model?

26:45 What safeguards exist for RPA?

28:00 What has been the response from other physicians, physicists, and patients to this model?

33:30 Timeline for implementation of the radiation planning assistant?

34:45 Background of the Radiation Planning Assistant

38:25 Future of Radiation Planning Assistant implementation

40:55 Adaptive planning in radiation oncology

43:15 Future of the Radiation Planning Assistant in the next 10 years

44:50 Are there any other projects being planned currently?

47:00 How has mentorship shaped your path?

50:25 What is the future of AI in medicine in 10-20 years

51:48 What advice would you tell yourself when you were graduating from medical school

53:20 What brings your life joy and meaning?

54:50 What are your greatest fears?

55:15 Favorite places to travel?



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