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

Revolutionizing Breast Cancer Care: The Role of Artificial Intelligence in Detection, Prediction, and Personalized Treatment

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342849,
        author={Nithya  R and Manisha  Venkatesan and Priyadharshini  Chandrabose and Nithya Kalyani  Karuppiah Subbulakshmanan and Sangeetha  Krishnan},
        title={Revolutionizing Breast Cancer Care: The Role of Artificial Intelligence in Detection, Prediction, and Personalized Treatment},
        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={breast cancer artificial intelligence early detection diagnosis personalized treatment machine learning data preprocessing ai models clinical applications},
        doi={10.4108/eai.17-11-2023.2342849}
    }
    
  • Nithya R
    Manisha Venkatesan
    Priyadharshini Chandrabose
    Nithya Kalyani Karuppiah Subbulakshmanan
    Sangeetha Krishnan
    Year: 2024
    Revolutionizing Breast Cancer Care: The Role of Artificial Intelligence in Detection, Prediction, and Personalized Treatment
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342849
Nithya R1,*, Manisha Venkatesan1, Priyadharshini Chandrabose1, Nithya Kalyani Karuppiah Subbulakshmanan1, Sangeetha Krishnan1
  • 1: Department of Pharmaceutics, PSG College of Pharmacy
*Contact email: nithyar7340@psgpharma.ac.in

Abstract

Breast cancer continues to be a substantial health issue on a global scale, impacting millions of women across the globe. This comprehensive review delves into the changing terrain of breast cancer care, focusing specifically on the integration of artificial intelligence (AI) technologies. AI is revolutionizing early detection, precise diagnosis, and personalized treatment strategies for breast cancer. The article explores both challenges and opportunities in utilizing AI in breast cancer research, covering various aspects such as data sources, preprocessing methods, machine learning algorithms, and tailored AI models for detecting and predicting breast cancer. It also discusses metrics for evaluating performance, ethical considerations, clinical uses, and real-life case studies. Looking to the future, the article examines upcoming trends and anticipated challenges in AI-driven breast cancer research, emphasizing the ongoing need for exploration and enhancements. The aim of this contribution is to advance efforts in improving breast cancer care and lessening its impact on the lives of women.