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Artificial Intelligence Techniques for Detection as Well as Diagnosis of Cancer and Prediction of Mutations

NeuroQuantology, 2022-01, Vol.20 (12), p.231

Copyright NeuroQuantology 2022 ;EISSN: 1303-5150 ;DOI: 10.14704/NQ.2022.20.12.NQ77019

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  • Title:
    Artificial Intelligence Techniques for Detection as Well as Diagnosis of Cancer and Prediction of Mutations
  • Author: 1S Raviraja ; 2M Baby Anusha ; 3K Tamilarasi ; 4Rakesh Nayak ; 5Deepak Kumar Nayak ; 6Syed Karimunnisa
  • Subjects: Artificial intelligence ; Brain cancer ; Cancer ; Cancer therapies ; Computer science ; Deep learning ; Diagnosis ; Immune system ; Machine learning ; Medical diagnosis ; Medical research ; Mortality ; Mutation ; Radiation therapy
  • Is Part Of: NeuroQuantology, 2022-01, Vol.20 (12), p.231
  • Description: Artificial intelligence (AI) is effectively making its way in medical research and individualised clinical care. The increasing availability datasets, coupled with increase in high-performance computing and novel deep learning architectures, has resulted in an increase in the use of AI in different aspects of oncology research. Cancer detection and classification, single - molecule characterization of tumours and their microenvironment, medicinal chemistry and repurposing, and predicting patient therapeutic efficacy are among the applications. We predict a paradigm shift in cancer care that will be deeply influenced by AI since these breakthroughs make their way into the clinic. In this study, we conducted an efficient finding and included research articles that used Artificial Intelligence based learning approaches for cancer prediction, diagnosis and prediction of mutations.
  • Publisher: Bornova Izmir: NeuroQuantology
  • Language: English
  • Identifier: EISSN: 1303-5150
    DOI: 10.14704/NQ.2022.20.12.NQ77019
  • Source: ProQuest One Psychology
    GFMER Free Medical Journals
    ProQuest Central
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