Toward a human-centric co-design methodology for AI detection of differences between planned and delivered dose in radiotherapy.

Journal: Journal of applied clinical medical physics
Published Date: Mar 31, 2025

Abstract

INTRODUCTION: Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users. To address the AI implementation gap, we propose a human-centric methodology, novel in RT, for an interface design of an AI-driven RT treatment error detection system.

Authors

  • Luca M Heising
    Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • Frank Verhaegen
    Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands. frank.verhaegen@maastro.nl.
  • Stefan G Scheib
    Varian Medical Systems Imaging Laboratory, Taefernstrasse 7, 5405 Daettwil AG, Switzerland.
  • Maria J G Jacobs
    Tilburg School of Economics and Management, Department of Management, Tilburg University, Tilburg, The Netherlands.
  • Carol X J Ou
    Department of Management, Tilburg School of Economics and Management, Tilburg University, Tilburg, The Netherlands.
  • Viola Mottarella
    Varian, a Siemens Healthineers Company, Baden-Dättwil, Switzerland.
  • Yin-Ho Chong
    Varian, a Siemens Healthineers Company, Baden-Dättwil, Switzerland.
  • Mariangela Zamburlini
    Varian, a Siemens Healthineers Company, Baden-Dättwil, Switzerland.
  • Sebastiaan M J J G Nijsten
    Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • Ans Swinnen
    Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • Michel Öllers
    Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • Cecile J A Wolfs
    Department of Radiation Oncology (Maastro), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.

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