DiscoverThe MaML Podcast - Medicine & Machine LearningBeth Beadle - AI and Radiation Oncology
Beth Beadle - AI and Radiation Oncology

Beth Beadle - AI and Radiation Oncology

Update: 2022-10-01
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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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Beth Beadle - AI and Radiation Oncology

Beth Beadle - AI and Radiation Oncology

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