AUTHOR=Bhattacharya Sudip , Varshney Saurabh , Heidler Petra , Tripathi Shailesh K. TITLE=Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review JOURNAL=Frontiers in Digital Health VOLUME=4 YEAR=2022 URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2022.1082884 DOI=10.3389/fdgth.2022.1082884 ISSN=2673-253X ABSTRACT=Introduction

Breast cancer is one of the most common cancer among Indian women, with an incidence of 25.8 per 100,000 women according to the Ministry of Health and Family Welfare. Late detection is responsible for poor quality of life (QOL), and it is the leading cause of death. In metropolitan regions, one in every 22 women will have breast cancer over their lifetime; but in rural areas, one in every 60 women will develop breast cancer as per estimates.

Aim and objective

This paper aims to describe the various AI based breast screening technologies which are used in breast cancer screening in India.

Methodology

The literature search was done using “Pub Med,” “Google scholar,” and “Scopus” databases for the key terms “technology,” “cancer research,” “artificial intelligence,” “mammography”, “breast cancer,” “cancer,” and/or “neoplasia in breast.” All the relevant articles were included to support this mini review.

Results

We found that emerging artificial intelligent technologies namely “Niramai”, “iBreastExam,” “MammoAssist” are emerging as an hope for early detection by screening in resource poor settings, in turn, which can improve the QOL among breast cancer patients.