2023
DOI: 10.1007/s00521-023-08717-4
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Detection of brain space-occupying lesions using quantum machine learning

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Cited by 3 publications
(1 citation statement)
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“…Among the various quantum algorithms proposed as solutions to medical challenges, quantum-enhanced AI/machine learning methods stand out for their broad applicability. Recently, quantum computing and quantum AI methods have been shown to have numerous applications in the field of healthcare, including rapid genome analysis and sequencing [51,52], disease detection [53][54][55][56], classification [57][58][59][60][61], identification of new drug applications [62][63][64]. Furthermore, quantum computing models play a significant role in predicting the mutations of genes that are particularly critical in the pathogenesis and diagnosis of specific cancer types, such as GBM [65].…”
Section: Introductionmentioning
confidence: 99%
“…Among the various quantum algorithms proposed as solutions to medical challenges, quantum-enhanced AI/machine learning methods stand out for their broad applicability. Recently, quantum computing and quantum AI methods have been shown to have numerous applications in the field of healthcare, including rapid genome analysis and sequencing [51,52], disease detection [53][54][55][56], classification [57][58][59][60][61], identification of new drug applications [62][63][64]. Furthermore, quantum computing models play a significant role in predicting the mutations of genes that are particularly critical in the pathogenesis and diagnosis of specific cancer types, such as GBM [65].…”
Section: Introductionmentioning
confidence: 99%