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Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence.
Wilson, Jefferson R; Prevedello, Luciano M; Witiw, Christopher D; Flanders, Adam E; Colak, Errol.
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  • Wilson JR; From the Division of Neurosurgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), St Michael's Hospital, 30 Bond St, Toronto, ON, Canada M5B 1W8; Department of Surgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), University of Toronto, Toronto, Canada (J.R.W., C.D.W.); Depar
  • Prevedello LM; From the Division of Neurosurgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), St Michael's Hospital, 30 Bond St, Toronto, ON, Canada M5B 1W8; Department of Surgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), University of Toronto, Toronto, Canada (J.R.W., C.D.W.); Depar
  • Witiw CD; From the Division of Neurosurgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), St Michael's Hospital, 30 Bond St, Toronto, ON, Canada M5B 1W8; Department of Surgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), University of Toronto, Toronto, Canada (J.R.W., C.D.W.); Depar
  • Flanders AE; From the Division of Neurosurgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), St Michael's Hospital, 30 Bond St, Toronto, ON, Canada M5B 1W8; Department of Surgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), University of Toronto, Toronto, Canada (J.R.W., C.D.W.); Depar
  • Colak E; From the Division of Neurosurgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), St Michael's Hospital, 30 Bond St, Toronto, ON, Canada M5B 1W8; Department of Surgery (J.R.W., C.D.W.) and Department of Medical Imaging (E.C.), University of Toronto, Toronto, Canada (J.R.W., C.D.W.); Depar
Radiol Artif Intell ; 6(1): e230006, 2024 Jan.
Article en En | MEDLINE | ID: mdl-38231037
ABSTRACT
In spite of an exponential increase in the volume of medical data produced globally, much of these data are inaccessible to those who might best use them to develop improved health care solutions through the application of advanced analytics such as artificial intelligence. Data liberation and crowdsourcing represent two distinct but interrelated approaches to bridging existing data silos and accelerating the pace of innovation internationally. In this article, we examine these concepts in the context of medical artificial intelligence research, summarizing their potential benefits, identifying potential pitfalls, and ultimately making a case for their expanded use going forward. A practical example of a crowdsourced competition using an international medical imaging dataset is provided. Keywords Artificial Intelligence, Data Liberation, Crowdsourcing © RSNA, 2023.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Investigación Biomédica / Colaboración de las Masas / Holometabola Límite: Animals Idioma: En Revista: Radiol Artif Intell Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Investigación Biomédica / Colaboración de las Masas / Holometabola Límite: Animals Idioma: En Revista: Radiol Artif Intell Año: 2024 Tipo del documento: Article