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Machine unlearning represents a novel advancement in Artificial Intelligence, yet there is a noticeable scarcity of literature exploring and justifying its application in digital healthcare. This analytical paper serves as an introduction to machine unlearning, examining its capabilities and potential applications in the healthcare sector. By discussing machine unlearning from psychological and philosophical perspectives, I aim to provide a comprehensive understanding of its relevance and necessity. Also, this paper provides an introductory overview of key algorithms of machine unlearning and their potential applications in healthcare. As healthcare adapts to digital technologies, it is discussed that understanding and utilizing machine unlearning techniques will be crucial for maintaining effective and responsive healthcare systems.
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Abraham Oshni Alvandi (2024) studied this question.
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