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McGenity C, Randell R, Bellamy C, Burt A, Cratchley A, Goldin R, Hubscher SG, Neil DAH, Quaglia A, Tiniakos D, Wyatt J, Treanor D. Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence. J Clin Pathol 2023; 77:27-33. [PMID: 36599660 PMCID: PMC10804041 DOI: 10.1136/jcp-2022-208614] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/24/2022] [Indexed: 01/05/2023]
Abstract
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.
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Affiliation(s)
- Clare McGenity
- Pathology and Data Analytics, University of Leeds, Leeds, UK
- Department of Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Rebecca Randell
- Faculty of Health Sciences, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | | | - Alastair Burt
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Alyn Cratchley
- Department of Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Robert Goldin
- Division of Digestive Diseases, Imperial College London, London, UK
| | - Stefan G Hubscher
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Desley A H Neil
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
- Department of Cellular Pathology, Queen Elizabeth Hospital Birmingham, Birmingham, UK
| | - Alberto Quaglia
- Department of Cellular Pathology, Royal Free Hospital, London, UK
| | - Dina Tiniakos
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
- Department of Pathology, National and Kapodistrian University of Athens, Athens, Greece
| | - Judy Wyatt
- Department of Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Darren Treanor
- Pathology and Data Analytics, University of Leeds, Leeds, UK
- Department of Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- Department of Clinical Pathology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Centre for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
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