Algorithmic fairness in artificial intelligence for medicine and healthcare

RJ Chen, JJ Wang, DFK Williamson, TY Chen… - Nature biomedical …, 2023 - nature.com
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

Algorithm fairness in ai for medicine and healthcare

RJ Chen, TY Chen, J Lipkova, JJ Wang… - arXiv preprint arXiv …, 2021 - arxiv.org
In the current development and deployment of many artificial intelligence (AI) systems in
healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent …

A translational perspective towards clinical AI fairness

M Liu, Y Ning, S Teixayavong, M Mertens, J Xu… - NPJ Digital …, 2023 - nature.com
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …

What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning …

M Mccradden, O Odusi, S Joshi, I Akrout… - Proceedings of the …, 2023 - dl.acm.org
The problem of algorithmic bias represents an ethical threat to the fair treatment of patients
when their care involves machine learning (ML) models informing clinical decision-making …

An empirical characterization of fair machine learning for clinical risk prediction

SR Pfohl, A Foryciarz, NH Shah - Journal of biomedical informatics, 2021 - Elsevier
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …

Algorithmic fairness in computational medicine

J Xu, Y Xiao, WH Wang, Y Ning, EA Shenkman… - …, 2022 - thelancet.com
Machine learning models are increasingly adopted for facilitating clinical decision-making.
However, recent research has shown that machine learning techniques may result in …

Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies

E Ferrara - Sci, 2023 - mdpi.com
The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …

The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future

I Straw - Artificial intelligence in medicine, 2020 - Elsevier
Medicine is at a disciplinary crossroads. With the rapid integration of Artificial Intelligence
(AI) into the healthcare field the future care of our patients will depend on the decisions we …

Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework

R Agarwal, M Bjarnadottir, L Rhue, M Dugas… - Health Policy and …, 2023 - Elsevier
The emergence and increasing use of artificial intelligence and machine learning (AI/ML) in
healthcare practice and delivery is being greeted with both optimism and caution. We focus …

Fairness of artificial intelligence in healthcare: review and recommendations

D Ueda, T Kakinuma, S Fujita, K Kamagata… - Japanese Journal of …, 2024 - Springer
In this review, we address the issue of fairness in the clinical integration of artificial
intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a …