Artificial Intelligence and Health Equity

Background and aims: Artificial intelligence is changing healthcare and its application in variousmedical departments and specialties has become a reality. Artificial intelligence has the potentialto help create health equity. Therefore, this study was conducted with the aim of investigatingthe equitable health services with artificial intelligence.Method: A comprehensive text search was conducted from three databases (Web of Science,Google Scholar, EBSCOhost). Different keywords such as artificial intelligence, health equity,health disparity were used to identify the articles in the field of health equity and artificial intelligence.Related articles were collected, reviewed and selected.Results: The results of the literature review revealed three main themes regarding the impact ofAI on health equity, which included AI’s ability to help reduce health disparities, its potential toreduce or exacerbate bias, and its ability to help identify determinants of health. In this regard,the results indicated that incorrect and poor-quality data sets for artificial intelligence models cancause bias, misleading predictions, side effects and even inequity on a large scale. Therefore, thegeneralizability, transparency, repeatability and interpretability of data sensitive to health equity,as well as the role of data scientists in this regard, have been emphasized. Also, the algorithmsused in artificial intelligence should be accurate, objective and fair as much as possible.Conclusion: The use of artificial intelligence in health care increases health equity and has realpotential to reveal existing biases to motivate social change and correct health care disparities.Looking to the future, we must develop harmonized standards for health equity in AI and do ourbest to uphold them at the national and community levels.

کلیدواژه ها:

artificial intelligence ، equity ، health