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Standardization of Artificial Intelligence Development in Radiotherapy.

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Summary

Standardized protocols are needed for clinical assessment of Artificial Intelligence (AI) in medical imaging and radiotherapy. This study introduces open-source solutions like Machine Learning Canvas, Datasheets for Datasets, and Model Cards to improve AI validation and collaboration.

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Area of Science:

  • Medical Imaging
  • Radiotherapy
  • Artificial Intelligence

Background:

  • Clinical assessment of Artificial Intelligence (AI) tools in medical imaging and radiotherapy is hindered by a lack of standardized validation protocols.
  • Diverse stakeholder methods, tools, and evaluation criteria impede communication and model exchange between clinics.
  • These challenges are prevalent across all AI application domains, not just radiotherapy.

Purpose of the Study:

  • To address the limitations in clinical AI assessment and collaboration.
  • To introduce and discuss the application of three open-source solutions: Machine Learning Canvas, Datasheets for Datasets, and Model Cards.
  • To facilitate the exchange of AI models and improve their clinical integration.

Main Methods:

  • Introduction of the Machine Learning Canvas for documenting the AI creation pipeline.
  • Explanation of Datasheets for Datasets to detail dataset characteristics and biases.
  • Description of Model Cards for transparent reporting of AI model performance and limitations.
  • Application of these methods to AI in radiotherapy.

Main Results:

  • These open-source solutions provide a framework for comprehensive documentation of AI development.
  • They aim to enhance transparency regarding datasets, biases, and model performance.
  • Facilitation of improved communication and collaboration among stakeholders is a key outcome.

Conclusions:

  • The discussed open-source solutions offer a pathway to standardize AI validation and reporting in medical fields.
  • Implementing these methods can overcome barriers to AI model exchange and clinical adoption.
  • Standardized documentation is crucial for the responsible and effective integration of AI in healthcare.