Abstract

Accuracy of Information given by ChatGPT for Patients with Inflammatory Bowel Disease in Relation to ECCO Guidelines

J Crohns Colitis. 2024 Aug 14;18(8):1215-1221. doi: 10.1093/ecco-jcc/jjae040.

Martina Sciberras 1Yvette Farrugia 1Hannah Gordon 2 3Federica Furfaro 4Mariangela Allocca 4Joana Torres 5 6 7Naila Arebi 8 9Gionata Fiorino 4 10Marietta Iacucci 11Bram Verstockt 12 13Fernando Magro 14Kostas Katsanos 15Josef Busuttil 16Katya De Giovanni 16Valerie Anne Fenech 1Stefania Chetcuti Zammit 1Pierre Ellul 1

 
     

Author information

1Department of Medicine, Division of Gastroenterology, Mater Dei Hospital, Msida, Malta.

2Department of Gastroenterology, Barts Health NHS Trust, London, UK.

3Translational Gastroenterology and Liver Unit, John Radcliffe Hospital, University of Oxford, Oxford, UK.

4IRCCS OSPEDALE San Raffaele, Gastroenterology and Endoscopy, IBD Center, Milan, Italy.

5Division of Gastroenterology, Hospital da Luz, Lisbon, Portugal.

6Division of Gastroenterology, Hospital Beatriz Ângelo, Loures, Portugal.

7Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

8Department of Inflammatory Bowel Disease, St Mark's National Bowel Hospital, London, UK.

9Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.

10IBD Unit, San Camillo-Forlanini Hospital, Rome, Italy.

11APC Microbiome Ireland, College of Medicine and Health, University College of Cork, Cork, Ireland.

12Department of Gastroenterology and Hepatology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.

13Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.

14CINTESIS@RISE, Faculty of Medicine of the University of Porto, Porto, Portugal.

15Division of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, University of Ioannina School of Health Sciences, Ioannina, Greece.

16Association for Crohn`s and Colitis, Malta.

Abstract

Background: As acceptance of artificial intelligence [AI] platforms increases, more patients will consider these tools as sources of information. The ChatGPT architecture utilizes a neural network to process natural language, thus generating responses based on the context of input text. The accuracy and completeness of ChatGPT3.5 in the context of inflammatory bowel disease [IBD] remains unclear.

Methods: In this prospective study, 38 questions worded by IBD patients were inputted into ChatGPT3.5. The following topics were covered: [1] Crohn's disease [CD], ulcerative colitis [UC], and malignancy; [2] maternal medicine; [3] infection and vaccination; and [4] complementary medicine. Responses given by ChatGPT were assessed for accuracy [1-completely incorrect to 5-completely correct] and completeness [3-point Likert scale; range 1-incomplete to 3-complete] by 14 expert gastroenterologists, in comparison with relevant ECCO guidelines.

Results: In terms of accuracy, most replies [84.2%] had a median score of ≥4 (interquartile range [IQR]: 2) and a mean score of 3.87 [SD: ±0.6]. For completeness, 34.2% of the replies had a median score of 3 and 55.3% had a median score of between 2 and <3. Overall, the mean rating was 2.24 [SD: ±0.4, median: 2, IQR: 1]. Though groups 3 and 4 had a higher mean for both accuracy and completeness, there was no significant scoring variation between the four question groups [Kruskal-Wallis test p > 0.05]. However, statistical analysis for the different individual questions revealed a significant difference for both accuracy [p < 0.001] and completeness [p < 0.001]. The questions which rated the highest for both accuracy and completeness were related to smoking, while the lowest rating was related to screening for malignancy and vaccinations especially in the context of immunosuppression and family planning.

Conclusion: This is the first study to demonstrate the capability of an AI-based system to provide accurate and comprehensive answers to real-world patient queries in IBD. AI systems may serve as a useful adjunct for patients, in addition to standard of care in clinics and validated patient information resources. However, responses in specialist areas may deviate from evidence-based guidance and the replies need to give more firm advice.

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