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Quantum Computing in Healthcare Using AI-Driven Medical Technologies
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Author(s): U. V. Anbazhagu (Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, India), K. Priyadharshini (Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, India), S. Deepajothi (Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, India), Haripriya M. P. (Department of Computer Science, Kristu Jayanti College, Bengaluru, India)and E. Afreen Banu (Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College, Mumbai, India)
Copyright: 2025
Pages: 32
Source title:
Modern SuperHyperSoft Computing Trends in Science and Technology
Source Author(s)/Editor(s): Florentin Smarandache (University of New Mexico, USA)and Priyanka Majumder (Techno College of Engineering, Agartala, India)
DOI: 10.4018/979-8-3693-6875-6.ch014
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Abstract
Quantum computing with AI-driven medical technologies represents an absolute frontier of transformation in precision medicine, diagnostics, and drug discovery. This chapter explores the intersection of quantum computing and artificial intelligence in transforming complex medical challenges, namely in big data analysis, acceleration in molecular simulations, and personalizing treatment plans. Quantum algorithms can scale exponentially beyond AI's capabilities in the breakthrough of genomic analysis, radiological interpretation, and predictive modeling for patient outcomes. The focus of the chapter will be on state-of-the-art achievements in quantum machine learning, possible applications in healthcare areas, and their future prospects for the revolutionizing of medical imaging, optimization of clinical trials, and real-time data processing on wearable devices. They confront the computational limits of classical systems and offer new ground for significant progress in both medical research and health care delivery by solving problems that have until now been intractable.
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