Mission:
The Artificial Intelligence (AI) Education Working Group within ROECSG aims to explore and implement the integration of artificial intelligence into radiation oncology clinical care and training. Our mission is to enhance education broadly through innovative AI-driven learning strategies, improve efficiency in clinical and academic workflows, and collaborate with existing working groups to ensure AI is leveraged effectively across educational domains.
Check out the “AI in Radiation Oncology: Resource Page” click here
Initiatives:
- Stay tuned!
2025-26 AI Working Group members:
- Danielle Bitterman (Chair)
- Kevin Du (Chair)
- William Jin (Chair)
- Leah Katz (Chair)
- Brandon Mahal (Chair)
- Rohan Patel (Chair)
- Crystal Seldon Taswell (Chair)
- Lookman Abdullah
- Suryakanta Acharya
- Oluwatobi Adeniji
- Mohamed Farouk Akl
- Anthony Alanis
- Marian Axente
- Ana Bessa
- Beth Bossart
- Jerry Browne
- Santam Chakraborty
- Jie Jane Chen
- Kuan-Wen Chen
- Samuel Chen
- Yaw Chin
- Sylvia Choo
- Simon Duke
- Yannick G. Eller
- George Eskandar
- Jilcha Feyisa
- Mohammad Gouran-Savadkoohi
- Michael Gribble
- Babar Gulzar
- Qianyu Guo
- Deepak Gupta
- Michael Gutman
- Tanya Hammoud
- Katelyn Hasse
- Sarah Hoffe
- David Horowitz
- Mitchell Kamrava
- Ellen Kim
- Cory Knill
- Megnama Enoch Jean-De-Dieu Koue
- Ramez Kouzy
- Aswin Kumar
- Morgan Levy
- Katie Lichter
- Sara Marques Zorro
- Alexander Marwaha
- Rafael Matias
- Aadil Najeed
- Jill Nicholson
- Maiara Oliveira
- Solin Onder
- Mitchell Parker
- Vaishvi Patel
- John Peterson
- Jovan Pierre-Charles
- Alexander Qian
- Guhan Rangaswamy
- Sohrab Sakinehpour
- Samuel Franck
- Seppo Mohammad
- Ullah Shemanto
- James Sohn
- Benjamin Ssemata
- Cyril Takem Baiyee
- Petria Thompson
- Victor Javier Vazquez Zamora
- Armando Vera
- Antonio Villegas
- Tim Waxweiler
- Dalin Xavier
- Fabio Ynoe de Moraes