Algorithmic fairness audits in intensive care medicine

Algorithmic fairness audits in intensive care medicine: artificial ...

As a starting point, an AI algorithms' discrimination and calibration should be evaluated on various subpopulations before making the step ...

Critical Care (2022) 26:315 https://doi.org/10.1186/s13054-022-04197-5. COMMENT. Algorithmic fairness audits in intensive care medicine: artificial ...

Algorithmic fairness audits in intensive care medicine - PubMed

Algorithmic fairness audits in intensive care medicine: artificial intelligence for all?

Algorithmic fairness audits in intensive care medicine - ResearchGate

Artificial intelligence algorithms are booming in medicine, and the question of biases induced or perpetuated by these tools is a very important ...

Availability of information needed to evaluate algorithmic fairness

This review demonstrates that critical care publicly available data used to train AI algorithms do not include enough information to properly look for intrinsic ...

Algorithmic fairness audits in intensive care medicine

Title:Algorithmic fairness audits in intensive care medicine: artificial intelligence for all?,Author:van de Sande Davy,van Bommel Jasper,Fung Fen Chung ...

Algorithmic fairness audits in intensive care medicine - Scite

[ 22 ] For instance, in some groups, AI-based algorithms may overestimate the risk of disease, leading to more tests and treatments for these individuals, while ...

Algorithm fairness in artificial intelligence for medicine and healthcare

In this Perspective, we outline fairness in machine learning through the lens of healthcare, and discuss how algorithmic biases (in data acquisition, genetic ...

Algorithmic fairness audits in intensive care medicine - OUCI

Algorithmic fairness audits in intensive care medicine: artificial intelligence for all? https://doi.org/10.1186/s13054-022-04197-5 ·. Journal: Critical Care ...

Algorithmic fairness audits in intensive care medicine

Algorithmic fairness audits in intensive care medicine: artificial intelligence for all? · Acknowledgements · Declarations · Ethics approval and consent to ...

Ethical limitations of algorithmic fairness solutions in health care ...

Artificial intelligence has exposed pernicious bias within health data that constitutes substantial ethical threat to the use of machine learning in medicine.

Guiding Principles to Address the Impact of Algorithm Bias on Racial ...

Advancing health equity requires expertise in algorithmic fairness—the field of identifying, understanding, and mitigating bias. Health care ...

The medical algorithmic audit - The Lancet Digital Health

We propose that safety monitoring and medical algorithmic auditing should be a joint responsibility between users and developers, and encourage ...

Algorithmic Individual Fairness and Healthcare: A Scoping Review

Algorithmic fairness in healthcare is critical for ensuring equitable assessment and treatment of all individuals, regardless of their ...

Clinical algorithms, racism, and “fairness” in healthcare: A case of ...

By way of illustration, race and ethnicity data are critical attributes in algorithmic fairness methodologies that address racial bias, with ...

Review Algorithmic fairness in computational medicine

of a case study to build an alerting algorithm in ICU ... Preventing fairness gerrymander- · ing: auditing and learning for subgroup fairness.

Algorithm Fairness in AI for Medicine and Healthcare

The intersectional of fairness in machine learning through the context of current issues in healthcare is summarized, and how algorithmic biases arise in ...

Algorithmic fairness audits in intensive care medicine - EurekaMag

Algorithmic fairness audits in intensive care medicine: artificial intelligence for all? · Critical Care 26(1): 315 · 2022 · Related References · Quick Search · Full ...

Auditing Algorithmic Fairness in Machine Learning for Health with ...

Auditing machine learning-based healthcare (ML4H) tools for bias is critical to preventing patient harm, especially in communities disproportionately facing ...

Fairness of artificial intelligence in healthcare: review and ...

We then outline strategies for addressing fairness, such as the importance of diverse and representative data and algorithm audits.