Open AccessDesigning culturally acceptable screening for breast cancer through artificial intelligence-two case studies
Author(s) -
Sudip Bhattacharya,
Neha Sharma,
Amarjeet Singh
Publication year - 2019
Publication title -
journal of family medicine and primary care
Language(s) - English
Resource type - Journals
eISSN - 2278-7135
pISSN - 2249-4863
DOI - 10.4103/jfmpc.jfmpc_391_18
Subject(s) - mindset , medicine , product (mathematics) , breast cancer , health care , population , diffusion of innovations , marketing , public relations , cancer , artificial intelligence , computer science , economic growth , business , geometry , mathematics , environmental health , political science , economics
Diffusion of Innovation (DOI) theory explains how, over a period of time, an idea or behavior diffuses (or spreads) through a targeted population or society. The major thing about adoption is that the people must perceive the idea, behavior, or product as new or innovative and it should be useful to them. The more the perceived benefit, the quicker is the diffusion. Same thing can be expected for adoption of new technology in healthcare also. In this paper, we have described two novel breast cancer screening technologies and have concluded that implementation of a new technology should consider the cultural aspect and mindset of local people so that quick diffusion of healthcare technology takes place among all segments in our society to make it a better world.