Ethical Framework for Responsible Foundational Models in Medical Imaging

Abhijit Das; Debesh Jha; Jasmer Sanjotra; Onkar Susladkar; Suramyaa Sarkar; Ashish Rauniyar; Nikhil Tomar; Vanshali Sharma; Ulas Bagci

Ethical Framework for Responsible Foundational Models in Medical Imaging

Computers and Society 2024-06-19 v1 Artificial Intelligence

Authors: Abhijit Das , Debesh Jha , Jasmer Sanjotra , Onkar Susladkar , Suramyaa Sarkar , Ashish Rauniyar , Nikhil Tomar , Vanshali Sharma , Ulas Bagci

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Abstract

Foundational models (FMs) have tremendous potential to revolutionize medical imaging. However, their deployment in real-world clinical settings demands extensive ethical considerations. This paper aims to highlight the ethical concerns related to FMs and propose a framework to guide their responsible development and implementation within medicine. We meticulously examine ethical issues such as privacy of patient data, bias mitigation, algorithmic transparency, explainability and accountability. The proposed framework is designed to prioritize patient welfare, mitigate potential risks, and foster trust in AI-assisted healthcare.

Keywords

ethics foundation model medical informatics

Cite

@article{arxiv.2406.11868,
  title  = {Ethical Framework for Responsible Foundational Models in Medical Imaging},
  author = {Abhijit Das and Debesh Jha and Jasmer Sanjotra and Onkar Susladkar and Suramyaa Sarkar and Ashish Rauniyar and Nikhil Tomar and Vanshali Sharma and Ulas Bagci},
  journal= {arXiv preprint arXiv:2406.11868},
  year   = {2024}
}

Ethical Framework for Responsible Foundational Models in Medical Imaging

Abstract

Keywords

Cite

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