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  • Bergquist, Magnus,1960-Halmstad University,Högskolan i Halmstad,Akademin för informationsteknologi (author)

Trust and stakeholder perspectives on the implementation of AI tools in clinical radiology

  • Article/chapterEnglish2024

Publisher, publication year, extent ...

  • Heidelberg :Springer,2024
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:hh-51943
  • https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-51943URI
  • https://doi.org/10.1007/s00330-023-09967-5DOI
  • https://lup.lub.lu.se/record/baaa15d3-f706-4350-b9fd-4622ead8dad2URI
  • https://gup.ub.gu.se/publication/329782URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Objectives: To define requirements that condition trust in artificial intelligence (AI) as clinical decision support in radiology from the perspective of various stakeholders and to explore ways to fulfil these requirements.Methods: Semi-structured interviews were conducted with twenty-five respondents—nineteen directly involved in the development, implementation, or use of AI applications in radiology and six working with AI in other areas of healthcare. We designed the questions to explore three themes: development and use of AI, professional decision-making, and management and organizational procedures connected to AI. The transcribed interviews were analysed in an iterative coding process from open coding to theoretically informed thematic coding.Results: We identified four aspects of trust that relate to reliability, transparency, quality verification, and inter-organizational compatibility. These aspects fall under the categories of substantial and procedural requirements.Conclusions: Development of appropriate levels of trust in AI in healthcare is complex and encompasses multiple dimensions of requirements. Various stakeholders will have to be involved in developing AI solutions for healthcare and radiology to fulfil these requirements. Clinical relevance statement: For AI to achieve advances in radiology, it must be given the opportunity to support, rather than replace, human expertise. Support requires trust. Identification of aspects and conditions for trust allows developing AI implementation strategies that facilitate advancing the field.Key Points:• Dimensions of procedural and substantial demands that need to be fulfilled to foster appropriate levels of trust in AI in healthcare are conditioned on aspects related to reliability, transparency, quality verification, and inter-organizational compatibility.  • Creating the conditions for trust to emerge requires the involvement of various stakeholders, who will have to compensate the problem’s inherent complexity by finding and promoting well-defined solutions. © 2023, The Author(s).

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Rolandsson, BertilGothenburg University,Göteborgs universitet,University of Gothenburg,Lund University,Lunds universitet,Sociologi,Sociologiska institutionen,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Sociology,Department of Sociology,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences,Institutionen för sociologi och arbetsvetenskap,Department of Sociology and Work Science(Swepub:gu)xrolbe (author)
  • Gryska, Emilia,1992Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för ortopedi,Institute of Clinical Sciences, Department of Orthopaedics(Swepub:gu)xgryem (author)
  • Laesser, Mats,1969Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiologi,Institute of Clinical Sciences, Department of Radiology(Swepub:gu)xlaema (author)
  • Hoefling, NickoletaGothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiologi,Institute of Clinical Sciences, Department of Radiology (author)
  • Heckemann, Rolf A.Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för medicinsk strålningsvetenskap,Institute of Clinical Sciences, Department of Medical Radiation Sciences(Swepub:gu)xhecro (author)
  • Schneiderman, Justin F.,1979Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience(Swepub:gu)xschju (author)
  • Björkman-Burtscher, Isabella M.Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiologi,Institute of Clinical Sciences, Department of Radiology(Swepub:gu)xbjois (author)
  • Högskolan i HalmstadAkademin för informationsteknologi (creator_code:org_t)

Related titles

  • In:European RadiologyHeidelberg : Springer34:1, s. 338-3470938-79941432-1084

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