McGenity, Clare;
Randell, Rebecca;
Bellamy, Christopher;
Burt, Alastair;
Cratchley, Alyn;
Goldin, Robert;
Hubscher, Stefan G;
... Treanor, Darren; + view all
(2024)
Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence.
Journal of Clinical Pathology (JCP)
, 77
(1)
pp. 27-33.
10.1136/jcp-2022-208614.
Preview |
Text
Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence.pdf - Published Version Download (1MB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1136/jcp-2022-208614 |
| Publisher version: | https://doi.org/10.1136/jcp-2022-208614 |
| Language: | English |
| Additional information: | © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Pathology, DIGITAL PATHOLOGY, LIVER DISEASE, HISTOPATHOLOGY, Image Processing, Computer-Assisted, COMPUTER SYSTEMS, IMAGE-ANALYSIS, STEATOSIS |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10203716 |
Archive Staff Only
 |
View Item |
