305Chapter 12 Quantum blind computing for privacy-preserving medical diagnosis
Vinay Aseri, Arnav Dua, Rajwinder Singh Mankoo +1 more
This chapter explores the application of quantum blind computing (QBC) quantum blind computing (QBC) in medical diagnostics medical diagnostics , especially in enhancing privacy privacy and security in medical data processing. First, we revisit the most crucial issues of medical diagnostics medical diagnostics with regard to privacy privacy and how data should be handled securely in such sensitive environments. Then, we delve into the basics of quantum computing and blind computing to describe how these two merge into QBC. This chapter has looked at the state of the art in traditional methodologies for privacy privacy -preserving analysis of medical data, along with a critical look at limitations that call for robust solutions. The core of this chapter places QBC in its place as a game-changing technology for privacy privacy -preserving medical diagnosis. We show how QBC allows one to do the computation on encrypted medical data without decryption and thus permits secure collaboration amongst healthcare providers and researchers. Also, quantum protocols quantum protocols are discussed, enabling secure processing of medical data and case studies that will bring forth the potential of QBC in health-tech applications. While acknowledging the promise of QBC, we also discuss some of the challenges and limitations of implementing this technology in healthcare settings, including technical barriers, scalability concerns, and potential ethical considerations. It concludes with the discussion of future prospects and research directions that QBC might have in medical diagnostics medical diagnostics , touching on improvements in quantum hardware and software, emerging trends in privacy privacy -preserving health technologies, and the possibilities of QBC applications beyond medicine.
De Gruyter eBooks•Apr 23, 2025•0 citations