Bhattacharya Sudip, Varshney Saurabh, Heidler Petra, Tripathi Shailesh K
Department of Community and Family Medicine, All India Institute of Medical Sciences, Deoghar, India.
Department of ENT (Otorhinolaryngology), All India Institute of Medical Sciences, Deoghar, India.
Front Digit Health. 2022 Dec 23;4:1082884. doi: 10.3389/fdgth.2022.1082884. eCollection 2022.
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.
This paper aims to describe the various AI based breast screening technologies which are used in breast cancer screening in India.
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.
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.
乳腺癌是印度女性中最常见的癌症之一，根据卫生与家庭福利部的数据，每10万名女性中的发病率为25.8例。检测延迟导致生活质量（QOL）较差，并且是死亡的主要原因。在大都市地区，每22名女性中就有1人在其一生中会患乳腺癌；但据估计，在农村地区，每60名女性中就有1人会患乳腺癌。
本文旨在描述印度用于乳腺癌筛查的各种基于人工智能的乳房筛查技术。
使用“PubMed”、“谷歌学术”和“Scopus”数据库进行文献检索，检索关键词为“技术”、“癌症研究”、“人工智能”、“乳房X线摄影”、“乳腺癌”、“癌症”和/或“乳腺肿瘤”。纳入所有相关文章以支持本综述。
我们发现新兴的人工智能技术，即“Niramai”、“iBreastExam”、“MammoAssist”，有望在资源匮乏地区通过筛查实现早期检测，进而改善乳腺癌患者的生活质量。
