… an exaggerated state of healthcare inequity [15–23]. … healthcare (eg, readily available
electronic health information and computer power) may be widening existing healthcare disparities …

… health care may help identify interventions that could help correct biased clinician
decision-making and possibly reduce health disparities… Artificial intelligence and machine learning …

… health care disparities among patients. In this article, we reviewed how artificial intelligence
(AI) and machine learning (ML… outcome prediction, and identify disparities in the treatment of …

… disparities that have become engrained in US health systems. As the healthcare industry
adopts artificial intelligence … , it is vital that regulators address healthcare discrimination. AI tools …

… To acquire such understanding there is a need for the implementation of different types of
technologies based on artificial intelligence (AI) that enable the identification of biomedically …

… a framework for assessing and identifying disparate impacts of artificial intelligence in health
care. Bias in Machine Learning Models While health care is an inherently data-driven field, …

… disparities in healthcare … Artificial Intelligence both within and outside healthcare is now
far more sophisticated and widespread. The progressive utilization of AI systems in healthcare …

… fairness in machine learning through the lens of healthcare, … workflows and the resulting
healthcare disparities. We also … overview of healthcare disparities, fair machine learning and …

… Criteria 1: Discussing artificial intelligence interventions in healthcare with an explicit focus
on equity, either in or applicable to primary care (objective 1), AI in primary care provision (…

… using a formula based on lost healthcare facility revenue, a … applications of artificial intelligence
in healthcare become a … : how can we account for racial disparities in care access and …