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- King, HenryUniv Leeds, England (författare)
How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study
- Artikel/kapitelEngelska2023
Förlag, utgivningsår, omfång ...
- 2022-12-24
- OXFORD UNIV PRESS,2023
- electronicrdacarrier
Nummerbeteckningar
- LIBRIS-ID:oai:DiVA.org:liu-191036
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191036URI
- https://doi.org/10.1093/jamia/ocac254DOI
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- Språk:engelska
- Sammanfattning på:engelska
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Anmärkningar
- Funding Agencies|Data to Early Diagnosis and Precision Medicine strand of the governments Industrial Strategy Challenge Fund [104687]
- Objective There is increasing interest in using artificial intelligence (AI) in pathology to improve accuracy and efficiency. Studies of clinicians perceptions of AI have found only moderate acceptability, suggesting further research is needed regarding integration into clinical practice. This study aimed to explore stakeholders theories concerning how and in what contexts AI is likely to become integrated into pathology. Materials and Methods A literature review provided tentative theories that were revised through a realist interview study with 20 pathologists and 5 pathology trainees. Questions sought to elicit whether, and in what ways, the tentative theories fitted with interviewees perceptions and experiences. Analysis focused on identifying the contextual factors that may support or constrain uptake of AI in pathology. Results Interviews highlighted the importance of trust in AI, with interviewees emphasizing evaluation and the opportunity for pathologists to become familiar with AI as means for establishing trust. Interviewees expressed a desire to be involved in design and implementation of AI tools, to ensure such tools address pressing needs, but needs vary by subspecialty. Workflow integration is desired but whether AI tools should work automatically will vary according to the task and the context. Conclusions It must not be assumed that AI tools that provide benefit in one subspecialty will provide benefit in others. Pathologists should be involved in the decision to introduce AI, with opportunity to assess strengths and weaknesses. Further research is needed concerning the evidence required to satisfy pathologists regarding the benefits of AI.
Ämnesord och genrebeteckningar
- NATURVETENSKAP Data- och informationsvetenskap Annan data- och informationsvetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Other Computer and Information Science hsv//eng
- artificial intelligence; pathology; implementation; realist evaluation; qualitative research
Biuppslag (personer, institutioner, konferenser, titlar ...)
- Williams, BethanyLeeds Teaching Hosp NHS Trust, England (författare)
- Treanor, Darren,1974-Linköpings universitet,Avdelningen för inflammation och infektion,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Klinisk patologi,Univ Leeds, England; Leeds Teaching Hosp NHS Trust, England(Swepub:liu)dartr72 (författare)
- Randell, RebeccaUniv Bradford, England; Wolfson Ctr Appl Hlth Res, England; Univ Bradford, England (författare)
- Univ Leeds, EnglandLeeds Teaching Hosp NHS Trust, England (creator_code:org_t)
Sammanhörande titlar
- Ingår i:JAMIA Journal of the American Medical Informatics Association: OXFORD UNIV PRESS30:3, s. 529-5381067-50271527-974X
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