{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T09:38:52Z","timestamp":1788255532558,"version":"build-2803163510"},"reference-count":22,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aim and objective<\/jats:title><jats:p>This paper aims to describe the various AI based breast screening technologies which are used in breast cancer screening in India.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methodology<\/jats:title><jats:p>The literature search was done using \u201cPub Med,\u201d \u201cGoogle scholar,\u201d and \u201cScopus\u201d databases for the key terms \u201ctechnology,\u201d \u201ccancer research,\u201d \u201cartificial intelligence,\u201d \u201cmammography\u201d, \u201cbreast cancer,\u201d \u201ccancer,\u201d and\/or \u201cneoplasia in breast.\u201d All the relevant articles were included to support this mini review.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We found that emerging artificial intelligent technologies namely \u201cNiramai\u201d, \u201ciBreastExam,\u201d \u201cMammoAssist\u201d 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.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fdgth.2022.1082884","type":"journal-article","created":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T05:13:20Z","timestamp":1671772400000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Expanding the horizon for breast cancer screening in India through artificial intelligent technologies\u00a0-A 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