Ta strona używa pliki cookies, w celu polepszenia użyteczności i funkcjonalności oraz w celach statystycznych. Dowiedz się więcej w Polityce prywatności.
Korzystając ze strony wyrażasz zgodę na używanie plików cookies, zgodnie z aktualnymi ustawieniami przeglądarki.
Akceptuję wykorzystanie plików cookies
Advances in Dermatology and Allergology
eISSN: 2299-0046
ISSN: 1642-395X
Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii
Current Issue Archive Manuscripts accepted About the journal Editorial board Reviewers Abstracting and indexing Subscription Contact Instructions for authors Publication charge Ethical standards and procedures
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
Share:
Share:
Original paper

Comparing physician and artificial intelligence ChatGPT-4 responses to common patient questions regarding hidradenitis suppurativa: a single-blind study

Miłosz Lewandowski
1
,
Paweł Łukowicz
2
,
Dariusz Świetlik
2
,
Bożena Jendrysik
3
,
Wioletta Barańska-Rybak
1

  1. Department of Dermatology, Venereology and Allergology, Faculty of Medicine, Medical University of Gdansk, Gdansk, Poland
  2. Division of Biostatistics and Neural Networks, Medical University of Gdansk, Gdansk, Poland
  3. Veno-Med. Medical Centre, Lubliniec, Poland
Adv Dermatol Allergol
Online publish date: 2025/06/09
Article file
Get citation
 
 
1. Singhal K, Azizi S, Tu T, et al. Large language models encode clinical knowledge. Nature 2023; 620: 172-80.
2. Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med 2019; 25: 24-9.
3. Dave T, Athaluri SA, Singh S. ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations. Front Artif Intell 2023; 6: 1169595.
4. Lewandowski M, Łukowicz P, Świetlik D, Barańska-Rybak W. An original study of ChatGPT-3.5 and ChatGPT-4 dermatological knowledge level based on the dermatology specialty certificate examinations. Clin Exp Dermatol 2024; 49: 686-91.
5. Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare 2023; 11: 887.
6. Krajewski PK, Matusiak Ł, von Stebut E, et al. Quality-of-life impairment among patients with hidradenitis suppurativa: a cross-sectional study of 1795 patients. Life (Basel) 2021; 11: 34.
7. Sabat R, Jemec GBE, Matusiak Ł, et al. Hidradenitis suppurativa. Nat Rev Dis Primers 2020; 6: 18.
8. Lewandowski M, Świerczewska Z, Barańska-Rybak W. Hidradenitis suppurativa: a review of current treatment options. Int J Dermatol 2022; 61: 1152-64.
9. Rymaszewska E, Karczewski M, Krajewski PK, et al. Patients’ expectations and satisfaction with the patient–doctor relationship in hidradenitis suppurativa. Healthcare 2023; 11: 3139.
10. Heratizadeh A, Werfel T, Wollenberg A, et al. Effects of structured patient education in adults with atopic dermatitis: multicenter randomized controlled trial. J Allergy Clin Immunol 2017; 140: 845-53.e3.
11. de Bes J, Legierse CM, Prinsen CAC, de Korte J. Patient education in chronic skin diseases: a systematic review. Acta Derm Venereol 2011; 91: 12-7.
12. Bujnowska-Fedak MM, Waligóra J, Mastalerz-Migas A. The Internet as a source of health information and services. Adv Exp Med Biol 2019; 1211: 1-16.
13. Hämeen-Anttila K, Pietilä K, Pylkkänen L, Pohjanoksa-Mäntylä M. Internet as a source of medicines information (MI) among frequent internet users. Res Social Adm Pharm 2018; 14: 758-64.
14. Vance K, Howe W, Dellavalle RP. Social internet sites as a source of public health information. Dermatol Clin 2009; 27: 133-6.
15. Revuz J. Hidradenitis suppurativa - patients’ frequently asked questions. Hidradenitis Suppurativa 2006; 187-92.
16. Lee TC, Staller K, Botoman V, et al. ChatGPT answers common patient questions about colonoscopy. Gastroenterology 2023; 165: 509-11.e7.
17. Moazzam Z, Cloyd J, Lima HA, Pawlik TM. Quality of ChatGPT responses to questions related to pancreatic cancer and its surgical care. Ann Surg Oncol 2023; 30: 6284-6.
18. Samaan JS, Yeo YH, Rajeev N, et al. Assessing the accuracy of responses by the language model ChatGPT to questions regarding bariatric surgery. Obes Surg 2023; 33: 1790-6.
19. Seth I, Cox A, Xie Y, et al. Evaluating chatbot efficacy for answering frequently asked questions in plastic surgery: a ChatGPT case study focused on breast augmentation. Aesthet Surg J 2023; 43: 1126-35.
20. Cakir H, Caglar U, Yildiz O, et al. Evaluating the performance of ChatGPT in answering questions related to urolithiasis. Int Urol Nephrol 2024; 56: 17-21.
21. Trager MH, Queen D, Bordone LA, et al. Assessing ChatGPT responses to common patient queries regarding basal cell carcinoma. Arch Dermatol Res 2023; 315: 2979-81.
22. Ayers JW, Poliak A, Dredze M, et al. Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum. JAMA Intern Med 2023; 183: 589-96.
23. Mondal H, Dash I, Mondal S, Behera JK. ChatGPT in answering queries related to lifestyle-related diseases and disorders. Cureus 2023; 15: e48296.
24. Walker HL, Ghani S, Kuemmerli C, et al. Reliability of medical information provided by ChatGPT: assessment against clinical guidelines and patient information quality instrument. J Med Internet Res 2023; 25: e47479.
25. Verweel L, Newman A, Michaelchuk W, et al. The effect of digital interventions on related health literacy and skills for individuals living with chronic diseases: a systematic review and meta-analysis. Int J Med Inform 2023; 177: 105114.
26. Prussick L, Tonelli S, Gottlieb AB, et al. Improving health literacy and treatment understanding of hidradenitis suppurativa using group educational interventions. J Dermatolog Treat 2019; 30: 708-13.
27. Ayre J, Mac O, McCaffery K, et al. New frontiers in health literacy: using ChatGPT to simplify health information for people in the community. J Gen Intern Med 2024; 39: 573-7.
28. Health Promotion Glossary of Terms 2021 [WWW Document]. URL https://www.who.int/publications/i/item/9789240038349 [accessed on 17 December 2023].
29. Staab D, Diepgen TL, Fartasch M, et al. Age related, structured educational programmes for the management of atopic dermatitis in children and adolescents: multicentre, randomised controlled trial. BMJ  2006; 332: 933.
30. Miller TA. Health literacy and adherence to medical treatment in chronic and acute illness: a meta-analysis. Patient Educ Couns 2016; 99: 1079-86.
31. Wang X, Sanders HM, Liu Y, et al. ChatGPT: promise and challenges for deployment in low- and middle-income countries. Lancet Reg Health West Pac 2023; 41: 100905.
32. Guo J, Li B. The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity 2018; 2: 174.
33. Nazir S, Dickson DM, Akram MU. Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks. Comput Biol Med 2023; 156: 106668.
34. Ray PP. Refining the application of artificial intelligence in the water domain: Exploring the potential of ChatGPT. Sci Total Environ 2023; 892: 164638.
Copyright: © 2025 Termedia Sp. z o. o. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
Quick links
© 2025 Termedia Sp. z o.o.
Developed by Bentus.