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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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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Algorithm Fairness in AI for Medicine and Healthcare
(2 days ago) WEBIn the current development and deployment of many artificial intelligence (AI) systems in healthcare, algorithm fairness is a challenging problem in delivering …
https://arxiv.org/abs/2110.00603
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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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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 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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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
Category: Medicine Show Health
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 …
(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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Can medical algorithms be fair? Three ethical quandaries and one
(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 …
https://informatics.bmj.com/content/29/1/e100445
Category: Medical, Course Show Health
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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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
Category: Medical Show Health
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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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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Algorithmic Fairness: A Tolerance Perspective - arXiv.org
(2 days ago) WEBdiscrimination in algorithms. For example, resource allocation in health care is evaluated by comparable algorithms to achieve fairness and efficiency. …
https://arxiv.org/pdf/2405.09543
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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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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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Safe and Equitable Pediatric Clinical Use of AI Pediatrics JAMA
(7 days ago) WEBDevelopers and health care facilities must commit to algorithmovigilance (defined as “scientific methods and activities relating to the evaluation, monitoring, …
https://jamanetwork.com/journals/jamapediatrics/fullarticle/2818678
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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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Enhancing children’s understanding of algorithmic biases in and …
(2 days ago) WEBChouldechova A, Putnam-Hornstein E, Benavides-Prado D, et al. (2018) A case study of algorithm-assisted decision making in child maltreatment hotline …
https://journals.sagepub.com/doi/abs/10.1177/14614448241252820
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Using AI for public impact: Insights from Dr. Soroush Saghafian
(8 days ago) WEBA pivotal area of Dr. Saghafian’s work involves integrating AI with public policy to optimize resource allocation, particularly in healthcare. “Our lab is developing AI …
https://www.fastcompany.com/91125138/using-ai-for-public-impact-insights-from-dr-soroush-saghafian
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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
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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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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Will AI replace doctors who read X-rays, or just make them better …
(2 days ago) WEBFor doctors who review scans to spot cancer and other diseases, however, AI has loomed for about a decade as more algorithms promise to improve accuracy, …
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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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HTI-1 Final Rule: Implications for Healthcare Providers – Focus on …
(2 days ago) WEBThe following is a guest article by Nitin Kunte, Sr. Director at NTT DATA On February 8, 2024, the Office of the National Coordinator for Health Information …
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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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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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[2405.04816] Testing the Fairness-Improvability of Algorithms
(2 days ago) WEBTesting the Fairness-Improvability of Algorithms. Eric Auerbach, Annie Liang, Max Tabord-Meehan, Kyohei Okumura. Many algorithms have a disparate …
https://arxiv.org/abs/2405.04816
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From Bias To Fairness: Trustworthy AI Through Responsible
(7 days ago) WEBData cleaning, bias detection and responsible data collection practices are essential for a smooth and ethical operation. Furthermore, invest in explainable AI …
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Electronic Health Record–Based Algorithm for Monitoring …
(4 days ago) WEBWe used the Electronic Medical Record Support for Public Health (ESP, https://www.esphealth.org) public health surveillance platform to develop the RAVIOLI …
https://wwwnc.cdc.gov/eid/article/30/6/23-0473_article
Category: Medical Show Health
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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