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TRV-2026-0863Certified recordPeer-reviewed

Organ-at-risk contouring education in the era of AI-assisted practice: Insights from an Australian undergraduate radiation therapy program

Introduction The integration of artificial intelligence (AI) tools into radiation therapy workflows offers significant opportunities to improve efficiency by automating tasks such as contouring organs at risk (OARs). However, this also raises concerns regarding future practitioners' ability to critically evaluate auto-generated contours. This educational perspective examines how OAR contouring education can be integrated into undergraduate radiation therapy programs to support the development of foundational con…

Education · The Trace — both readings · certified 2026-08-24 · v1 · article view · machine-readable

Current reading — gain

AI tools integrated into radiation therapy workflows can improve efficiency by automating organ-at-risk contouring tasks.

Current reading — problem

AI auto-contouring raises concerns that future radiation therapy practitioners may have reduced ability to critically evaluate auto-generated contours.

What this doesn’t fix

Findings are based on a single undergraduate program, limiting generalizability beyond the authors' institution.

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Truvace Impact Record TRV-2026-0863, v1: “Organ-at-risk contouring education in the era of AI-assisted practice: Insights from an Australian undergraduate radiation therapy program.” Truvace, 2026-08-24. /record/TRV-2026-0863 (accessed at citation time). sha256 e7fc23d7fc714aea…

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