2Deparment of Radiation Oncology, Ondokuz Mayıs University, Samsun-Türkiye
3Deparment of Radiation Oncology, Kocaeli University, Kocaeli-Türkiye
4Deparment of Radiation Oncology, Eskişehir University, Eskişehir-Türkiye
5Deparment of Radiation Oncology, Acıbadem University, İstanbul-Türkiye DOI : 10.5505/tjo.2022.3613 OBJECTIVE
We aimed to investigate the perception of radiation oncologists about artificial intelligence (AI), their current use of AI in clinical practice, and their expectations, concerns, and wishes in terms of the future of radiation oncology (RO) in the era of AI.
METHODS
An electronic survey was created.
RESULTS
A total of 108 radiation oncologists participated. One-fourth (24.3%) rated their knowledge of AI as
very poor. The majority (94%) reported that they need training about AI. Most respondents (62.6%)
indicated that they had never used any AI application. Nearly 90% reported that the introduction of
AI would improve RO. Image analysis and target definition were identified as key benefits of AI in RO
by 84% of respondents. The medical liability due to machine error and black box uncertainties was the
greatest concerns. The need for clinical validation of AI applications, development of ethical frameworks,
and medicolegal guidelines was identified as priorities before the implementation of AI in RO by
86%, 78%, and 68%, respectively.
CONCLUSION
There was a big gap in knowledge within our RO community. The enthusiasm to learn was high. AI
applications have not been imposed much in clinical routine. Mostly, the participants felt optimistic
about the introduction of AI. The top areas where AI was thought to be most useful in RO were reliant
on imaging. The respondents were mostly concerned about the medical liability.