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The value of standa...
The value of standards for health datasets in artificial intelligence-based applications
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- Arora, Anmol (författare)
- Univ Cambridge, England
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- Alderman, Joseph E. (författare)
- Univ Birmingham, England; Univ Hosp Birmingham NHS Fdn Trust, England; Univ Birmingham, England; Univ Birmingham, England
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- Palmer, Joanne (författare)
- Univ Hosp Birmingham NHS Fdn Trust, England; Univ Birmingham, England; Univ Birmingham, England
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- Ganapathi, Shaswath (författare)
- Sandwell & West Birmingham Hosp NHS Trust, England
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- Laws, Elinor (författare)
- Univ Birmingham, England; Univ Hosp Birmingham NHS Fdn Trust, England; Univ Birmingham, England; Univ Birmingham, England
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- Mccradden, Melissa D. (författare)
- Hosp Sick Children, Canada; Peter Gilgan Ctr Res & Learning, Canada; Dalla Lana Sch Publ Hlth, Canada
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- Oakden-Rayner, Lauren (författare)
- Univ Adelaide, Australia
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- Pfohl, Stephen R. (författare)
- Google Res, CA USA
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- Ghassemi, Marzyeh (författare)
- MIT, MA USA; Inst Med Engn & Sci, MA USA; Vector Inst, Canada
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- Mckay, Francis (författare)
- Univ Oxford, England
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- Treanor, Darren (författare)
- Linköpings universitet,Avdelningen för inflammation och infektion,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Klinisk patologi,Leeds Teaching Hosp NHS Trust, England; Univ Leeds, England
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- Rostamzadeh, Negar (författare)
- Google Res, Canada
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- Mateen, Bilal (författare)
- UCL, England; Wellcome Trust Res Labs, England
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- Gath, Jacqui (författare)
- STANDING Together, England
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- Adebajo, Adewole O. (författare)
- STANDING Together, England
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- Kuku, Stephanie (författare)
- UCL, England
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- Matin, Rubeta (författare)
- Oxford Univ Hosp NHS Fdn Trust, England
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- Heller, Katherine (författare)
- Google Res, CA USA
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- Sapey, Elizabeth (författare)
- Univ Birmingham, England; Univ Hosp Birmingham NHS Fdn Trust, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England
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- Sebire, Neil J. (författare)
- Great Ormond St Hosp Biomed Res Ctr, England; Univ Hosp London, England
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- Cole-Lewis, Heather (författare)
- Google Res, CA USA
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- Calvert, Melanie (författare)
- Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England
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- Denniston, Alastair (författare)
- Univ Birmingham, England; Univ Hosp Birmingham NHS Fdn Trust, England; Univ Birmingham, England; Univ Birmingham, England; Univ Birmingham, England; UCL, England; UCL, England
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- Liu, Xiaoxuan (författare)
- Univ Birmingham, England; Univ Hosp Birmingham NHS Fdn Trust, England; Univ Birmingham, England; Univ Birmingham, England
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(creator_code:org_t)
- NATURE PORTFOLIO, 2023
- 2023
- Engelska.
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Ingår i: Nature Medicine. - : NATURE PORTFOLIO. - 1078-8956 .- 1546-170X. ; 29, s. 2929-2938
- Relaterad länk:
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https://doi.org/10.1...
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate existing health inequity. This problem arises in part because of systemic inequalities in dataset curation, unequal opportunity to participate in research and inequalities of access. This study aims to explore existing standards, frameworks and best practices for ensuring adequate data diversity in health datasets. Exploring the body of existing literature and expert views is an important step towards the development of consensus-based guidelines. The study comprises two parts: a systematic review of existing standards, frameworks and best practices for healthcare datasets; and a survey and thematic analysis of stakeholder views of bias, health equity and best practices for artificial intelligence as a medical device. We found that the need for dataset diversity was well described in literature, and experts generally favored the development of a robust set of guidelines, but there were mixed views about how these could be implemented practically. The outputs of this study will be used to inform the development of standards for transparency of data diversity in health datasets (the STANDING Together initiative). A systematic review, combined with a stakeholder survey, presents an overview of current practices and recommendations for dataset curation in health, with specific focuses on data diversity and artificial intelligence-based applications.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Psykiatri (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Psychiatry (hsv//eng)
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- art (ämneskategori)
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- Av författaren/redakt...
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Arora, Anmol
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Alderman, Joseph ...
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Palmer, Joanne
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Ganapathi, Shasw ...
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Laws, Elinor
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Mccradden, Melis ...
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visa fler...
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Oakden-Rayner, L ...
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Pfohl, Stephen R ...
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Ghassemi, Marzye ...
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Mckay, Francis
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Treanor, Darren
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Rostamzadeh, Neg ...
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Mateen, Bilal
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Gath, Jacqui
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Adebajo, Adewole ...
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Kuku, Stephanie
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Matin, Rubeta
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Heller, Katherin ...
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Sapey, Elizabeth
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Sebire, Neil J.
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Cole-Lewis, Heat ...
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Calvert, Melanie
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Denniston, Alast ...
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Liu, Xiaoxuan
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visa färre...
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- MEDICIN OCH HÄLSOVETENSKAP
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