Artificial Intelligence in Early Detection: Identifying Breast Cancer Before Clinical Diagnosis

Artificial Intelligence in Early Detection: Identifying Breast Cancer Before Clinical Diagnosis

Prasurjya Saikia*1, Durgaprasad Kemisetti2, Ananga Mohan Das3, Charlisar Teron4, Diptimonta Neog5




*1Assistant Professor, Faculty of Pharmaceutical Science, Himalayan University , Jollang, village, near central jail, Itanagar, Arunachal Pradesh 791111, India
2Associate Professor, Faculty of Pharmaceutical Science, Assam down town University, Sankar Madhab Path, Gandhi Nagar, Panikhaiti, Guwahati, Assam 781026, India
3Assistant Professor, Faculty of Pharmaceutical Science, Himalayan University , Jollang, village, near central jail, Itanagar, Arunachal Pradesh 791111, India
4Scholar, Faculty of Pharmaceutical Science, Assam down town University, Panikhaiti, Guwahati, Assam -781026, India.
5Department of Physics, North Eastern Regional Institute of Science and Technology, Nirjuli -791109, Arunachal Pradesh, India

CORRESPONDING AUTHOR-

Prasurjya Saikia

Email -prasurjyasaikia17@gmai.com

Phone no.995771237

ORCHID ID-

Prasurjya Saikia; 0009-0004-3785-5894

Durgaprasad Kemisetti; 0000-0003-2081-1794

Charlisar Teron; 0009-0002-8016-7718

Ananga Mohan Das -0009-0006-2328-1169

Diptimonta Neog-0000-0002-8690-0637

Abstract - Improving patient outcomes depends critically on early identification of breast cancer. In order to detect breast cancer up to five years before a clinical diagnosis, artificial intelligence (AI) has the potential to completely transform breast cancer screening. This paper examines this possibility. We explore the most recent developments in AI algorithms and how they relate to imaging in medicine, namely mammography. The paper looks at how AI can identify precancerous alterations that are invisible to the human eye by analysing minute patterns in breast tissue. We go over the difficulties and possibilities in creating and evaluating AI models for early detection, including model interpretability, data quality, and ethical issues. The ultimate goal of this analysis is to demonstrate how artificial intelligence (AI) has the potential to drastically lower breast cancer mortality by enabling much earlier detection.

Keywords-Artificial Intelligence, Breast Cancer, Personalized medicine,Digital Mammography