Radyasyon Onkolojisinde Yapay Zeka Kullanımı ve Türkiye’deki Uzmanların Yaklaşımının Araştırılması

Abstract

Radiation Oncology is a treatment method that uses high technologies in cancer treatment and produces large amounts of medical images and data. GOAL: To investigate artificial intelligence (AI) based applications used in the Radiation Oncology workflow and to determine the ap-proaches, predictions, and expectations of experts (Radiation Oncologists and Medical Physics Specialists) in this field in Turkey. METHOD: An online questionnaire consisting of 10 questions was sent to a total of 51 people, consisting of Radi-ation Oncologists (27) and Medical Physicists (24) actively working in the field of radiation oncology in Turkey, and the results were analyzed. RESULTS: 11.76% of the experts par-ticipating in the research and working on this subject in Tur-key have no knowledge of AI and this group was excluded from the analysis. 88.98% of the participants agree that AI has beneficial applications in the field of medicine. While 46.67% of the participants do not think that AI applications can be used instead of their current work, 97.78% of the par-ticipants think that they can get support from AI applications in their transactions. The area where AI applications can be most beneficial is “Personalized or Adaptive therapy applica-tions” with 42.22%. The most important advantage of using AI has been identified as “It can produce meaningful results by processing large amounts of clinically meaningful data in real-time” with 55.56%. In case the decisions made by AI and the decisions made by individuals are different, 57.78% of the participants consider seeking a secondary expert opini-on. 52.27% of participants think that the person who applies the process should be considered responsible for the prob-lems that AI will create. The biggest obstacle in the deve-lopment of AI applications in Turkey is “the current human resources are closed to technological developments” by 40% of the participants.

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