PT  - JOURNAL ARTICLE
AU  - McGenity, Clare
AU  - Randell, Rebecca
AU  - Bellamy, Christopher
AU  - Burt, Alastair
AU  - Cratchley, Alyn
AU  - Goldin, Robert
AU  - Hubscher, Stefan G
AU  - Neil, Desley A H
AU  - Quaglia, Alberto
AU  - Tiniakos, Dina
AU  - Wyatt, Judy
AU  - Treanor, Darren
TI  - Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence
AID  - 10.1136/jcp-2022-208614
DP  - 2024 Jan 01
TA  - Journal of Clinical Pathology
PG  - 27--33
VI  - 77
IP  - 1
4099  - http://jcp.bmj.com/content/77/1/27.short
4100  - http://jcp.bmj.com/content/77/1/27.full
SO  - J Clin Pathol2024 Jan 01; 77
AB  - Aims A 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).Methods The 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.Results Forty-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.Conclusions This 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.All data relevant to the study are included in the article or uploaded as online supplemental information.