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The Potential of Quantum Computing in Healthcare

Prisilla Jayanthi, Bharatendra K. Rai, Iyyanki V. Muralikrishna

2022Advances in systems analysis, software engineering, and high performance computing book series13 citationsDOI

Abstract

The need for IR4 technologies with faster and accurate results for huge health datasets is required. Healthcare has made a lot of advancements with technologies and has certain issues in terms of carbon emission. This in turn sets the patient's life in risk. The study proposes a model for all the healthcare sectors. The study deals with the various quantum neural networks implemented on diabetes retinopathy and COVID-19 images. The quantum computing model outperformed all other machine learning and deep learning models giving more accurate results in less time. The revolution of quantum computing has proven the healthcare in diabetes retinopathy and COVID-19 detection to be faster. It can henceforth be implemented for early warning of the diseases and provide treatment for the patients.

Topics & Concepts

Health careComputer scienceQuantum computerCoronavirus disease 2019 (COVID-19)Warning systemDeep learningQuantumArtificial intelligenceData scienceMedicineDiseaseTelecommunicationsPolitical sciencePhysicsPathologyQuantum mechanicsLawInfectious disease (medical specialty)Retinal Imaging and AnalysisCOVID-19 diagnosis using AIArtificial Intelligence in Healthcare
The Potential of Quantum Computing in Healthcare | Litcius