Machine Learning in Medical Imaging

Abstract

This chapter explores the ethical issues surrounding medical imaging and related applications of machine learning and also covers the regulatory frameworks that control the application of machine learning in medical imaging. It examines the important questions of patient data privacy and the requirement for informed consent for data utilization. Apart from the foregoing, algorithmic bias and transparency issues, highlighting the significance of fairness in medical imagery analyses are also presented. In addition, laws about medical devices are also offered. The global context of medical imaging, looking at how various countries handle the regulatory and ethical ramifications of machine learning in the medical field is also studied. Two case studies highlighting the difficulties encountered by healthcare providers have been presented. The academic contents presented in this chapter are of considerable use to academics, researchers, legislators, physicians, radiologists, and attorneys.

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