Bias In Healthcare Data
Listing Websites about Bias In Healthcare Data
Addressing bias in big data and AI for health care: A call for open …
(3 days ago) WEBArtificial intelligence (AI) has an astonishing potential in revolutionizing health care. A major challenge is that of algorithmic bias. Most AI algorithms need big datasets to learn from, but several groups of the human population are absent or misrepresented in …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515002/
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Tackling Implicit Bias in Health Care NEJM
(Just Now) WEBDOI: 10.1056/NEJMp2201180. Implicit and explicit biases are among many factors that contribute to disparities in health and health care. 1 Explicit biases, the …
https://www.nejm.org/doi/full/10.1056/NEJMp2201180
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Considering Biased Data as Informative Artifacts in AI-Assisted …
(1 days ago) WEBHealth equity beyond data: health care worker perceptions of race, ethnicity, and language data collection in electronic health records. Med Care …
https://www.nejm.org/doi/full/10.1056/NEJMra2214964
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Algorithmic Bias in Health Care Exacerbates Social Executive and
(1 days ago) WEBWhat Can Data Science Teams Do to Prevent and Mitigate Algorithmic Bias in Health Care? According to Mattie, “Bias can creep into the process anywhere in …
https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/
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Addressing bias in big data and AI for health care: A call for open
(7 days ago) WEBThe bigger picture. Bias in the medical field can be dissected along three directions: data-driven, algorithmic, and human. Bias in AI algorithms for health care …
https://www.sciencedirect.com/science/article/pii/S2666389921002026
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Rising to the challenge of bias in health care AI - Nature
(Just Now) WEBIn this issue of Nature Medicine, Seyyed-Kalantari and colleagues 1 examine three large, publicly available radiology datasets to demonstrate a specific type …
https://www.nature.com/articles/s41591-021-01577-2
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Addressing algorithmic bias and the perpetuation of health …
(7 days ago) WEBIntroduction. With data revealing that a disturbingly disproportionate burden of the adverse outcomes of the COVID-19 pandemic is being borne by communities of …
https://www.sciencedirect.com/science/article/pii/S2211883722001095
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Addressing Health Equity: Sources, Impact and Mitigation of …
(2 days ago) WEBData bias; Health equity; Real world data (RWD) Real world evidence (RWE) FormalPara Learning Objectives On completion of this chapters, the reader …
https://link.springer.com/chapter/10.1007/978-3-031-07912-2_26
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Mitigating bias in machine learning for medicine
(Just Now) WEBHere, we outline proposed solutions on how to mitigate bias across the different development steps of ML-based systems for medical applications (Fig. 1): data …
https://www.nature.com/articles/s43856-021-00028-w
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Bias in AI-based models for medical applications: challenges and
(Just Now) WEBThe issue of bias being exhibited, perpetuated, or even amplified by AI algorithms is an increasing concern within healthcare. Bias is usually defined as a …
https://www.nature.com/articles/s41746-023-00858-z
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Challenging racism in the use of health data
(3 days ago) WEBData and data-driven technologies are playing an increasingly influential role in health care, helping to detect disease earlier, move care closer to home, encourage …
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00019-4/fulltext
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Bias in artificial intelligence algorithms and recommendations for
(9 days ago) WEBAuthor summary Though artificial intelligence (AI) algorithms were initially proposed as a means to improve healthcare and promote health equity, recent …
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000278
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Addressing bias in health care Deloitte Insights
(1 days ago) WEBExecutive summary. As health care systems strive to decrease disparities and improve health equity, there have been increasing calls to address discrimination …
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Health Inequity and Racism Affects Patients and Health Care …
(4 days ago) WEBTo begin to achieve equity in care delivery, institutional and interpersonal racism, including implicit bias, have to be addressed in every aspect of health care, …
https://catalyst.nejm.org/doi/full/10.1056/CAT.21.0033
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Racial Bias in Health Care Artificial Intelligence - NIHCM
(2 days ago) WEBAbout this Data Insights. Artificial intelligence (AI) tools such as algorithms are increasingly being used to determine who gets health care. These tools can …
https://nihcm.org/publications/artificial-intelligences-racial-bias-in-health-care
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Biases in healthcare: Types, examples, overcoming bias - Medical …
(2 days ago) WEBHispanic patients. Native Hawaiian/Pacific Islander patients. Racial bias in healthcare can lead to Black, Indigenous, and People of Color (BIPOC) having a harder …
https://www.medicalnewstoday.com/articles/biases-in-healthcare
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Reducing bias in medical AI solutions - Informatics Institute
(2 days ago) WEBLast year, she started research on bias in medical data, together with fellow PhD student Dieuwertje Luitse. As a humanities scholar, Luitse studies the ethical and …
https://ivi.uva.nl/content/news/2024/05/reducing-bias-in-medical-ai-solutions.html
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A survey of recent methods for addressing AI fairness and bias in
(1 days ago) WEBThe bias of AIs in biomedicine can originate from multiple sources such as insufficient data, sampling bias and the use of health-irrelevant features or race-adjusted algorithms. …
https://pubmed.ncbi.nlm.nih.gov/38677633/
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Diagnosing bias in data-driven algorithms for healthcare
(9 days ago) WEBThis reformulation led to a reduction in bias by over 80%. When developing data-driven algorithms for healthcare, we should think carefully about the labels used …
https://www.nature.com/articles/s41591-019-0726-6
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A Penn study on racial bias in health care algorithms shows “race …
(3 days ago) WEBLast year, 12 Philadelphia-area health systems and the region’s largest insurer, Independence Blue Cross, formed a coalition that pledged to eliminate race as a data …
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A Comprehensive Review of Bias in Deep Learning Models
(Just Now) WEBThe proliferation of artificial intelligence and deep learning has ushered in a new era of technological advancement, revolutionizing various aspects of our lives, from …
https://link.springer.com/article/10.1007/s11831-024-10134-2
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Quietly making noise: Measuring differential privacy could balance
(6 days ago) WEBIn industries such as healthcare, where data generation grows by 47% each year, information collected within electronic health records could help inform more …
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Study: 47% of Data is Underutilized in Healthcare - GlobeNewswire
(5 days ago) WEB2 “4 ways data is improving healthcare,” World Economic Forum, 2019. 3 “The use of Big Data Analytics in healthcare,” Journal of Big Data, 2022. 4 Arcadia …
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Deep Multimodal Representation Learning to Integrate Natural …
(5 days ago) WEBThe analysis of these cases shows that race-blind approaches are often not enough to remove bias, and that race-aware methods are typically needed to reduce …
https://libraetd.lib.virginia.edu/public_view/2801ph611
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Reweighting UK Biobank corrects for pervasive selection bias due …
(7 days ago) WEBIntroduction. Large-scale biobanks (N > 100 000) have become a key resource for medical, epidemiological, genetic and social scientific research. 1–4 UK Biobank …
https://academic.oup.com/ije/article/53/3/dyae054/7666749
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The New Rule of AI Discrimination in the Healthcare
(4 days ago) WEBThe new HHS rule requires health service providers to mitigate the risks of AI patient care tool bias. AI-supplied services should reduce discrimination by making …
https://www.cryptopolitan.com/the-new-rule-of-ai-discrimination/
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