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