Algorithm Fairness In Healthcare
Listing Websites about Algorithm Fairness In Healthcare
Algorithmic fairness in artificial intelligence for medicine and …
(Just Now) WEBWith the proliferation of AI algorithms in healthcare, there are growing ethical concerns regarding the disparate impact that the models may have on under-represented communities 1,2,3,4,5,6,7,8
https://www.nature.com/articles/s41551-023-01056-8
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Conceptualising fairness: three pillars for medical algorithms and
(3 days ago) WEBTo advance efforts to operationalise fairness in medicine, we synthesised a broad range of literature on fairness in medical algorithms. The results of our synthesis …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753410/
Category: Medical, Medicine Show Health
Algorithmic Individual Fairness and Healthcare: A Scoping Review
(4 days ago) WEBIndividual fairness in algorithms constrains algorithms to the notion that “similar individuals should be treated similarly.”. We conducted a scoping review on …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10996729/
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Algorithmic Individual Fairness and Healthcare: A Scoping Review
(1 days ago) WEBObjective Statistical and artificial intelligence algorithms are increasingly being developed for use in healthcare. These algorithms may reflect biases that …
https://www.medrxiv.org/content/10.1101/2024.03.25.24304853v1
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Can medical algorithms be fair? Three ethical …
(8 days ago) WEBObjective To demonstrate what it takes to reconcile the idea of fairness in medical algorithms and machine learning (ML) with the broader discourse of fairness and health equality in health research. Method The …
https://informatics.bmj.com/content/29/1/e100445
Category: Medical, Course Show Health
Algorithmic fairness in computational medicine
(2 days ago) WEBConclusions. In this review, we summarized the current research on algorithmic fairness in computational medicine. We first described the three types of computational bias: data bias, measurement bias, and model …
https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(22)00432-7/fulltext
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Algorithmic fairness in artificial intelligence for medicine and …
(4 days ago) WEBAlgorithm fairness. A concept for defining, quantifying and mitigating unfairness from machine-learning predictions that may cause disproportionate harm to individuals or …
https://www.nature.com/articles/s41551-023-01056-8.pdf
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Algorithmic Individual Fairness and Healthcare: A Scoping …
(8 days ago) WEBObjective. Statistical and artificial intelligence algorithms are increasingly being developed for use in health-care. These algorithms may reflect biases that …
https://www.medrxiv.org/content/10.1101/2024.03.25.24304853.full.pdf
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Ethical limitations of algorithmic fairness solutions in health care
(3 days ago) WEBArtificial intelligence has exposed pernicious bias within health data that constitutes substantial ethical threat to the use of machine learning in medicine.1,2 Solutions of …
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30065-0/fulltext
Category: Medicine Show Health
Algorithmic fairness in artificial intelligence for medicine and …
(1 days ago) WEBAbstract. In healthcare, the development and deployment of insufficiently fair systems of artificial intelligence (AI) can undermine the delivery of equitable care. Assessments of …
https://pubmed.ncbi.nlm.nih.gov/37380750/
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Fairness of artificial intelligence in healthcare: review and
(Just Now) WEBIn 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 …
https://link.springer.com/article/10.1007/s11604-023-01474-3
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Conceptualising fairness: three pillars for medical algorithms and
(8 days ago) WEBObjectives Fairness is a core concept meant to grapple with different forms of discrimination and bias that emerge with advances in Artificial Intelligence (eg, machine …
https://informatics.bmj.com/content/29/1/e100459
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Algorithm Bias and Racial and Ethnic Disparities in Health and …
(8 days ago) WEBDifferent technical definitions of algorithmic fairness, such as sufficiency, separation, and independence, are mathematically mutually incompatible, trading off …
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2812958
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Clinical algorithms, racism, and “fairness” in healthcare: A case of
(8 days ago) WEBClinical algorithms are structured, data-driven tools used to inform and facilitate decision making in healthcare (Dennstädt et al., 2021).Their widespread …
https://journals.sagepub.com/doi/10.1177/20539517231213820
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SPECIAL HEALTHCARE SERIES Promoting KEY TAKEAWAYS …
(4 days ago) WEBalgorithmic fairness thus erroneously confuses model performance and accrued benets in health outcomes. Research Outcomes We conducted a large-scale study examining the …
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Enabling Fairness in Healthcare Through Machine Learning
(Just Now) WEBAffirmative algorithms can serve the aim of health equity, we argued, on certain models of collaboration between clinicians and ML algorithms. Because the …
https://link.springer.com/article/10.1007/s10676-022-09658-7
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(PDF) Algorithm Fairness in AI for Medicine and Healthcare
(3 days ago) WEBIn the current development and deployment of many artificial intelligence (AI) systems in healthcare, algorithm fairness is a challenging problem in delivering …
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On Algorithmic Fairness in Medical Practice Cambridge Quarterly …
(9 days ago) WEBA comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: A systematic review and meta …
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Federation University Australia, Australia Griffith University
(2 days ago) WEBAlgorithms including healthcare algorithms, correctional offender management profiling for alternative sanctions Current fairness-aware algorithms …
https://arxiv.org/pdf/2405.09543
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Evaluating clinical algorithms for fairness
(5 days ago) WEBBiased algorithms in health care can lead to inaccurate diagnoses and delayed treatment. Deciding which variables to include to achieve fair health outcomes depends on how …
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Using AI for public impact: Insights from Dr. Soroush Saghafian
(8 days ago) WEBUnderstand and mitigate algorithm aversion in healthcare. While some argue that excluding race from algorithms promotes fairness, others believe its …
https://www.fastcompany.com/91125138/using-ai-for-public-impact-insights-from-dr-soroush-saghafian
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Algorithm fairness in artificial intelligence for medicine and …
(4 days ago) WEBConnecting healthcare disparities and dataset shifts to algorithm fairness. A, Population shift as a result of genetic variation and of other population-specific phenotypes across …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632090/
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Ethical AI: Tackling bias and ensuring fairness in machine learning
(4 days ago) WEBIn critical fields such as health care, law enforcement, employment and financial services, these technologies play a bigger role. The effects of biased decisions …
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The Benefits of AI in Healthcare IBM
(7 days ago) WEBBetter machine learning (ML) algorithms, more access to data, cheaper hardware, and the availability of 5G have contributed to the increasing application of AI …
https://www.ibm.com/think/insights/ai-healthcare-benefits
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Large Language Models in Healthcare: Are We There Yet?
(9 days ago) WEBHealth systems previously have implemented traditional AI, which is much more predictable: A clinical question was defined, a model was trained, and prediction …
https://hai.stanford.edu/news/large-language-models-healthcare-are-we-there-yet
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Ideal algorithms in healthcare: Explainable, dynamic, precise
(3 days ago) WEBAll 8 algorithms met criteria for precision, 6 of the algorithms were autonomous, 5 were fair, 4 were explainable, and 3 were reproducible. Dynamicity was …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754299/
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From Bias To Fairness: Trustworthy AI Through Responsible
(7 days ago) WEBAI algorithms can become complex labyrinths, opaque and impenetrable. This lack of transparency breeds distrust and fuels fears of algorithmic bias. That's why …
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How Large Language Models Are Putting Skin In The Healthcare …
(8 days ago) WEBThe risk of perpetuating existing biases through flawed data or algorithms is a pressing issue that requires continuous scrutiny and adjustment of AI models to ensure …
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Fair Federated Learning with Opposite GAN Knowledge-Based …
(5 days ago) WEBThe results demonstrate that our method successfully enhances algorithmic fairness and performance consistency. It achieves superior results compared to baseline methods. In …
https://dl.acm.org/doi/abs/10.1016/j.knosys.2024.111420
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Building fairness into AI is crucial, and hard to get right - MSN
(2 days ago) WEBArtificial intelligence's capacity to process and analyze vast amounts of data has revolutionized decision-making processes, making operations in health care, finance, …
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I unintentionally created a biased AI algorithm 25 years ago – tech
(4 days ago) WEBThe author’s 1998 head-tracking algorithm used skin color to distinguish a face from the background of an image. Source: John MacCormick, CC BY-ND. I used a …
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Electronic Health Record System Adopts STEADI Algorithm to …
(2 days ago) WEBImpact. Implementation of the STEADI workflow and EHR tools at the OHSU clinic had a national impact. In December 2015, Epic—a healthcare software …
https://www.cdc.gov/steadi/success-stories/ehrs.html
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[2405.04816] Testing the Fairness-Improvability of Algorithms
(2 days ago) WEBView a PDF of the paper titled Testing the Fairness-Improvability of Algorithms, by Eric Auerbach and 3 other authors. We establish the large-sample …
https://arxiv.org/abs/2405.04816
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5 ethical questions to consider before making AI-driven decisions
(4 days ago) WEBTransparency is equally important in AI-driven decisions. Human oversight plays a vital role in explaining AI recommendations. While AI can improve decision …
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Diabetes Algorithm (My Family Health Portrait Web-Based Tool)
(6 days ago) WEBThis page provides the algorithm for diabetes for the My Family Health Portrait (MFHP) web-based tool. This algorithm includes additional risk factors for …
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Contested Proceedings Radiographic Screening and B Readers
(9 days ago) WEB-Knowledge of individual or group data on exposures or health status. a necessary condition for ensuring fairness and equity. Summarization algorithms …
https://www.cdc.gov/niosh/chestradiography/php/contested-proceedings/index.html
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