Login / Signup

The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review.

Paul IstasyWen Shen LeeAlla IansavicheneRoss E G UpshurBishal GyawaliJacquelyn BurkellBekim SadikovicAlejandro Lazo-LangnerBenjamin Chin-Yee
Published in: Journal of medical Internet research (2022)
Our scoping review revealed 3 main themes on the impact of AI on health equity in oncology, which relate to AI's ability to help address health disparities, its potential to mitigate or exacerbate bias, and its capability to help elucidate determinants of health. Gaps in the literature included a lack of discussion of ethical challenges with the application of AI technologies in low- and middle-income countries, lack of discussion of problems of bias in AI algorithms, and a lack of justification for the use of AI technologies over traditional statistical methods to address specific research questions in oncology. Our review highlights a need to address these gaps to ensure a more equitable integration of AI in cancer research and clinical practice. The limitations of our study include its exploratory nature, its focus on oncology as opposed to all health care sectors, and its analysis of solely English-language articles.
Keyphrases