@article{12677ae6d88f4b8f89b1e020962ab658,
title = "Artificial Intelligence–Empowered Radiation Oncology Residency Education",
author = "Kwon, {Young Suk} and Michael Dohopolski and Howard Morgan and Aurelie Garant and David Sher and Asal Rahimi and Sanford, {Nina N.} and Vo, {Dat T.} and Kevin Albuquerque and Kiran Kumar and Robert Timmerman and Jiang, {Steve B.}",
note = "Funding Information: We thank Sepeadeh Radpour for editing the manuscript. Sources of support: This work had no specific funding. Disclosures: Dr Garant reports clinical trial funding from Reflexion Medical and a data safety monitoring board position at the authors{\textquoteright} internal institutional committee. Dr Rahimi reports a research grant from Accuray, Inc, and fees for consulting and educational speaking from Hologic. Dr Vo reports a data safety monitoring board position at the authors{\textquoteright} internal institutional committee. Dr Timmerman reports grants and contracts from Varian Medical Systems, Elekta Oncology, and Accuray, Inc. Dr Jiang reports grants for human-like automated radiation therapy treatment planning via imitation learning (R01CA254377) and intelligent treatment planning for cancer radiation therapy (1R01CA237269-01). No other disclosures were reported.",
year = "2023",
month = jan,
day = "1",
doi = "10.1016/j.prro.2022.09.003",
language = "English (US)",
volume = "13",
pages = "8--10",
journal = "Practical Radiation Oncology",
issn = "1879-8500",
publisher = "Elsevier BV",
number = "1",
}