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Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Prominence of Artificial Intelligence in cancer therapy

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342854,
        author={Umaa  Kuppuswamy and Selsia  Selsia and Suhaina  Fathima and Muthiah  Ramanathan},
        title={Prominence of Artificial Intelligence in cancer therapy},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={algorithms personalized monitoring biomarkers patient outcome},
        doi={10.4108/eai.17-11-2023.2342854}
    }
    
  • Umaa Kuppuswamy
    Selsia Selsia
    Suhaina Fathima
    Muthiah Ramanathan
    Year: 2024
    Prominence of Artificial Intelligence in cancer therapy
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342854
Umaa Kuppuswamy1,*, Selsia Selsia1, Suhaina Fathima1, Muthiah Ramanathan1
  • 1: PSG College of Pharmacy
*Contact email: umaagangadhararao@gmail.com

Abstract

A wonderful art of utilizing AI in health care to alleviate the effects of chronic diseases and to go hand in hand with the physicians for effective diagnosis has become the need of the day. There is a boom in the global market on the role of AI, especially in the Health Industry to the extent of 8 billion US dollars by 2026. This has accelerated to this extent due to better Machine Learning algorithms, cost effective hardware and availability of 5G. Saving time, quick personalized monitoring, minimal invasive methods, multi tasking and less human errors due to high precision are the insights deployed by AI technology. This article deals with the insights of AI exclusively in the diagnosis and the treatment of various types of cancers.

Keywords
algorithms personalized monitoring biomarkers patient outcome
Published
2024-01-23
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-11-2023.2342854
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