Excitement and Concerns of Young Radiation Oncologists over Automatic Segmentation: A French Perspective.

ABSTRACT:

Introduction

Segmentation of organs at risk (OARs) and target volumes need time and precision but are highly repetitive tasks. Radiation oncology has known tremendous technological advances in recent years, the latest being brought by artificial intelligence (AI). Despite the advantages brought by AI for segmentation, some concerns were raised by academics regarding the impact on young radiation oncologists' training. A survey was thus conducted on young french radiation oncologists (ROs) by the SFjRO (Société Française des jeunes Radiothérapeutes Oncologues).

Methodology

The SFjRO organizes regular webinars focusing on anatomical localization, discussing either segmentation or dosimetry. Completion of the survey was mandatory for registration to a dosimetry webinar dedicate

SUBMITTER: Bourbonne V 

PROVIDER: S-EPMC10093734 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature