In August 2022 the Department of Health and Human Services (HHS) issued a notice of
proposed rulemaking prohibiting covered entities, which include health care providers and …

Ethics of Artificial Intelligence (AI) is a growing research field that has emerged in response
to the challenges related to AI. Transparency poses a key challenge for implementing AI …

Objective We help identify subpopulations underrepresented in randomized clinical trials
(RCTs) cohorts with respect to national, community-based or health system target …

Applying machine learning in real-world applications may have various implications on
companies, but individuals as well. Besides obtaining lower costs, faster time to decision …

The fairness issue of clinical data modeling, especially on Electronic Health Records
(EHRs), is of utmost importance due to EHR's complex latent structure and potential …

This paper presents the Systemic Mapping Study results of the Ethics of Artificial Intelligence
(AI) research. AI ethics is an emerging and versatile topic interesting to different domains …

To enhance the quality of medical services, Machine Learning (ML) techniques have been
widely applied to model Electronic Health Records (EHRs). Nevertheless, clinical data …

Health inequity, which leads to unfair and preventable disparities across individuals in
opportunities to achieve optimal health, has been brought back into the national spotlight by …