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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04703naa a2200457 4500 | |
| 001 | oai:DiVA.org:liu-191370 | |
| 003 | SwePub | |
| 008 | 230131s2023 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1913702 URI |
| 024 | 7 | a https://doi.org/10.1136/jcp-2022-2086142 DOI |
| 040 | a (SwePub)liu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a McGenity, Clareu Univ Leeds, England; Leeds Teaching Hosp NHS Trust, England4 aut |
| 245 | 1 0 | a Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence |
| 264 | c 2023 | |
| 264 | 1 | b BMJ PUBLISHING GROUP,c 2023 |
| 338 | a electronic2 rdacarrier | |
| 500 | a Funding Agencies|National Pathology Imaging Co-operative (NPIC); Data to Early Diagnosis and Precision Medicine strand of the Governments Industrial Strategy Challenge Fund [104687]; Leeds Hospitals Charity; National Institute for Health Research (NIHR); NPIC; National Institute For Health Research (NIHR) UCLH/UCL Biomedical Research Centre (BRC) | |
| 520 | a AimsA survey of members of the UK Liver Pathology Group (UKLPG) was conducted, comprising consultant histopathologists from across the UK who report liver specimens and participate in the UK National Liver Pathology External Quality Assurance scheme. The aim of this study was to understand attitudes and priorities of liver pathologists towards digital pathology and artificial intelligence (AI). MethodsThe survey was distributed to all full consultant members of the UKLPG via email. This comprised 50 questions, with 48 multiple choice questions and 2 free-text questions at the end, covering a range of topics and concepts pertaining to the use of digital pathology and AI in liver disease. ResultsForty-two consultant histopathologists completed the survey, representing 36% of fully registered members of the UKLPG (42/116). Questions examining digital pathology showed respondents agreed with the utility of digital pathology for primary diagnosis 83% (34/41), second opinions 90% (37/41), research 85% (35/41) and training and education 95% (39/41). Fatty liver diseases were an area of demand for AI tools with 80% in agreement (33/41), followed by neoplastic liver diseases with 59% in agreement (24/41). Participants were concerned about AI development without pathologist involvement 73% (30/41), however, 63% (26/41) disagreed when asked whether AI would replace pathologists. ConclusionsThis study outlines current interest, priorities for research and concerns around digital pathology and AI for liver pathologists. The majority of UK liver pathologists are in favour of the application of digital pathology and AI in clinical practice, research and education. | |
| 650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kirurgi0 (SwePub)302122 hsv//swe |
| 650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Surgery0 (SwePub)302122 hsv//eng |
| 653 | a DIGITAL PATHOLOGY; LIVER DISEASE; HISTOPATHOLOGY; Image Processing; Computer-Assisted; COMPUTER SYSTEMS | |
| 700 | 1 | a Randell, Rebeccau Univ Bradford, England; Wolfson Ctr Appl Hlth Res, England4 aut |
| 700 | 1 | a Bellamy, Christopheru Univ Edinburgh, Scotland4 aut |
| 700 | 1 | a Burt, Alastairu Newcastle Univ, England4 aut |
| 700 | 1 | a Cratchley, Alynu Leeds Teaching Hosp NHS Trust, England4 aut |
| 700 | 1 | a Goldin, Robertu Imperial Coll London, England4 aut |
| 700 | 1 | a Hubscher, Stefan G.u Univ Birmingham, England4 aut |
| 700 | 1 | a Neil, Desley A. H.u Univ Birmingham, England; Queen Elizabeth Hosp Birmingham, England4 aut |
| 700 | 1 | a Quaglia, Albertou Royal Free Hosp, England4 aut |
| 700 | 1 | a Tiniakos, Dinau Newcastle Univ, England; Natl & Kapodistrian Univ Athens, Greece4 aut |
| 700 | 1 | a Wyatt, Judyu Leeds Teaching Hosp NHS Trust, England4 aut |
| 700 | 1 | a Treanor, Darrenu 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, England4 aut0 (Swepub:liu)dartr72 |
| 710 | 2 | a Univ Leeds, England; Leeds Teaching Hosp NHS Trust, Englandb Univ Bradford, England; Wolfson Ctr Appl Hlth Res, England4 org |
| 773 | 0 | t Journal of Clinical Pathologyd : BMJ PUBLISHING GROUPx 0021-9746x 1472-4146 |
| 856 | 4 | u https://liu.diva-portal.org/smash/get/diva2:1732684/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191370 |
| 856 | 4 8 | u https://doi.org/10.1136/jcp-2022-208614 |
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