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238 Clinician experience with an AI-enhanced target delineation workflow: a mixed-methods pilot study
Conference proceeding

238 Clinician experience with an AI-enhanced target delineation workflow: a mixed-methods pilot study

Aidan Leong, Alannah Flockton, Huong Nguyen, Ben Archibald-Heeren and Yunfei Hu
Radiotherapy and oncology, Vol.197(Supp. 1), pp.S395-S397
ESTRO meets Asia 2024 (Kuala Lumpur, Malaysia, 23/08/2024–25/08/2024)
08/2024
Handle:
https://hdl.handle.net/10523/43218

Abstract

AI artificial intelligence radiation oncology contouring clinician experience
Artificial Intelligence (AI) presents numerous opportunities for improving efficiency and consistency of practice within radiation oncology. For these benefits to be leveraged clinicians must have confidence in the output of AI systems. The integration of such systems into pre-existing clinical workflows and staffing models must also be actively facilitated. This mixed-methods retrospective cohort study evaluated initial clinician experience of an AI-enhanced workflow for breast target volume delineation.

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