Transforming Cancer Care: The Impact of AI-Driven Strategies

Debanjan      Mukherjee; Debajyoti      Roy; Shubham      Thakur

doi:10.2174/0115680096323564240703102748

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Abstract

AI is a critical component in healthcare, especially in the application of precision medicine where patients’ characteristics, including genetic makeup, determine the treatment options that should be implemented. AI sorts big data, predicting people’s reactions to specific treatments, the right combinations of drugs, and possible side effects, therefore increasing the efficiency of the treatment process and decreasing negative outcomes. This article briefly presents the ethical issues and concerns that might arise due to the integration of AI in society, such as the privacy of data, the issues of bias in the algorithms, and the issues of interpretability of the AI systems. Nevertheless, there is no doubt that AI can bring qualitative changes in cancer care based on its potential to enhance patient prognosis and reduce health care costs, as well as become a defining feature of the standard of care.

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DOI https://dx.doi.org/10.2174/0115680096323564240703102748	Print ISSN 1568-0096
Publisher Name Bentham Science Publisher	Online ISSN 1873-5576

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