Enhancing Breast Cancer Detection and Prognosis through AI/ML-Based Algorithms

Authors

  • Sesha Bhargavi Velagaleti Assistant Professor, Department of Information Technology, G Narayanamma Institute of Technology & Science, Hyderabad
  • Reshma Rege Assistant professor, Symbiosis School of Culinary Arts
  • Wasim Ahmad Bhat Lecturer, Department of computer and network engineering Jazan University jazan ksa
  • Mehreen Shehzadi Khan Department of Mathematics, Jazan University, K.S.A
  • Sachin Malhotra Professor, Krishna Engineering College, Ghaziabad
  • Dheeraj Kumar Sahni Department – CSE, College - UIET, MDU Rohtak
  • P. Varaprasada Rao Professor in CSE, Gokaraju RangaRaju Institute of Engineering and Technology (GRIET) Bachupally, Hyderabad- 500090

Keywords:

Breast cancer, AI/ML-based algorithms, Accuracy, Efficiency, Predictive modeling, Healthcare

Abstract

Breast cancer, particularly when it has spread to other regions of the body, presents substantial treatment and prognosis concerns. Researchers have been in the forefront of developing Artificial Intelligence/Machine Learning (AI/ML)-based systems to solve these difficulties. When compared to traditional approaches, these new algorithms provide a viable route for identifying breast cancer with more accuracy and efficiency. In this study, we look at the creation and evaluation of AI/ML-based algorithms for improving breast cancer detection and prognosis. We investigate how these algorithms use cutting-edge technology to increase breast cancer diagnostic accuracy, especially in complicated and advanced stages of the illness. Additionally, we investigate how these algorithms contribute to a better understanding of the prognosis for breast cancer patients, enabling more tailored treatment plans. Our study demonstrates the potential of AI/ML-driven solutions to revolutionize breast cancer detection and prognosis. Through the incorporation of large datasets, advanced image analysis techniques, and predictive modeling, these algorithms offer a significant advancement in the field of oncology. We present evidence of their efficacy, highlighting the crucial role they play in early diagnosis, more accurate prognosis, and ultimately, improved patient outcomes. This research serves as a valuable contribution to the ongoing efforts to combat breast cancer and underscores the transformative potential of AI/ML-based algorithms in the realm of healthcare and disease management.

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Published

12.01.2024

How to Cite

Velagaleti, S. B. ., Rege, R. ., Bhat, W. A. ., Khan, M. S. ., Malhotra, S. ., Sahni, D. K. ., & Rao , P. V. . (2024). Enhancing Breast Cancer Detection and Prognosis through AI/ML-Based Algorithms. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 561–566. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4540

Issue

Vol. 12 No. 12s (2024)

Section

Research Article

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