PDF herunterladen
CC BY-NC-ND 4.0 · Indian J Plast Surg 2023; 56(04): 320-325
DOI: 10.1055/s-0043-1771514
Review Article

ChatGPT in Plastic and Reconstructive Surgery

Sanjeev Chaand Sharma 
1   Department of Plastic Surgery, Leicester Royal Infirmary, Infirmary Square, Leicester, United Kingdom
,
Jai Parkash Ramchandani
2   Faculty of Life Sciences & Medicine, King's College London, Guy's Campus, Great Maze Pond, London, United Kingdom
,
Arjuna Thakker
3   Academic Team of Musculoskeletal Surgery, Leicester General Hospital, University Hospitals of Leicester NHS Trust, United Kingdom
,
Anindya Lahiri 
4   Department of Plastic Surgery, Sandwell General Hospital, West Bromwich, United Kingdom
› Institutsangaben
› Weitere Informationen
Auch verfügbar auf
   Lizenzen und Reprints

Abstract

Background Chat Generative Pre-Trained Transformer (ChatGPT) is a versatile large language model-based generative artificial intelligence. It is proficient in a variety of tasks from drafting emails to coding to composing music to passing medical licensing exams. While the potential role of ChatGPT in plastic surgery is promising, evidence-based research is needed to guide its implementation in practice.

Methods This review aims to summarize the literature surrounding ChatGPT's use in plastic surgery.

Results A literature search revealed several applications for ChatGPT in the field of plastic surgery, including the ability to create academic literature and to aid the production of research. However, the ethical implications of using such chatbots in scientific writing requires careful consideration. ChatGPT can also generate high-quality patient discharge summaries and operation notes within seconds, freeing up busy junior doctors to complete other tasks. However, currently clinical information must still be manually inputted, and clinicians must consider data privacy implications. Its use in aiding patient communication and education and training is also widely documented in the literature. However, questions have been raised over the accuracy of answers generated given that current versions of ChatGPT cannot access the most up-to-date sources.

Conclusions While one must be aware of its shortcomings, ChatGPT is a useful tool for plastic surgeons to improve productivity for a range of tasks from manuscript preparation to healthcare communication generation to drafting teaching sessions to studying and learning. As access improves and technology becomes more refined, surely more uses for ChatGPT in plastic surgery will become apparent.

Keywords

ChatGPT - artificial intelligence - large language models - Chatbot


Publikationsverlauf

Artikel online veröffentlicht:
02. August 2023

© 2023. Association of Plastic Surgeons of India. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

 

  • References

  • 1 Sheikh H, Prins C, Schrijvers E. Artificial Intelligence: Definition and Background. In: Sheikh H, Prins C, Schrijvers E. eds. Mission AI: The New System Technology. Cham: Springer International Publishing; 2023: 15-41
    Google Scholar
  • 2 Harrer S. Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine. EBioMedicine 2023; 90: 104512
    CrossrefPubMedGoogle Scholar
  • 3 Brown T, Mann B, Ryder N. et al. Language models are few-shot learners. Adv Neural Inf Process Syst 2020; 33: 1877-1901
    Google Scholar
  • 4 Open AI. Models. Accessed July 14, 2023 at: https://platform.openai.com/docs/models/overview
    Google Scholar
  • 5 Lee H. The rise of ChatGPT: exploring its potential in medical education. Anat Sci Educ 2023
    PubMedGoogle Scholar
  • 6 Jarvis T, Thornburg D, Rebecca AM, Teven CM. Artificial intelligence in plastic surgery: current applications, future directions, and ethical implications. Plast Reconstr Surg Glob Open 2020; 8 (10) e3200
    Google Scholar
  • 7 Murphy DC, Saleh DB. Artificial intelligence in plastic surgery: what is it? Where are we now? What is on the horizon?. Ann R Coll Surg Engl 2020; 102 (08) 577-580
    CrossrefPubMedGoogle Scholar
  • 8 Tsochatzidis L, Costaridou L, Pratikakis I. Deep learning for breast cancer diagnosis from mammograms-a comparative study. J Imaging 2019; 5 (03) 37
    CrossrefPubMedGoogle Scholar
  • 9 Brinker TJ, Hekler A, Enk AH. et al; Collaborators. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. Eur J Cancer 2019; 113: 47-54
    CrossrefPubMedGoogle Scholar
  • 10 Hassanein AH, Mailey BA, Dobke MK. Robot-assisted plastic surgery. Clin Plast Surg 2012; 39 (04) 419-424
    CrossrefPubMedGoogle Scholar
  • 11 Agha RA, Orgill DP. Evidence-based plastic surgery: its rise, importance, and a practical guide. Aesthet Surg J 2016; 36 (03) 366-371
    CrossrefPubMedGoogle Scholar
  • 12 ElHawary H, Gorgy A, Janis JE. Large language models in academic plastic surgery: the way forward. Plast Reconstr Surg Glob Open 2023; 11 (04) e4949
    CrossrefPubMedGoogle Scholar
  • 13 Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare (Basel) 2023; 11 (06) 887
    CrossrefPubMedGoogle Scholar
  • 14 Kim SG. Using ChatGPT for language editing in scientific articles. Maxillofac Plast Reconstr Surg 2023; 45 (01) 13
    CrossrefPubMedGoogle Scholar
  • 15 Dehouche N. Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3). Ethics Sci Environ Polit 2021; 21: 17-23
    CrossrefGoogle Scholar
  • 16 Thorp HH. ChatGPT is fun, but not an author. Science 2023; 379 (6630): 313
    CrossrefPubMedGoogle Scholar
  • 17 Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023; 613 (7945): 612
    CrossrefPubMedGoogle Scholar
  • 18 The Lancet Digital Health. ChatGPT: friend or foe?. Lancet Digit Health 2023; 5 (03) e102
    CrossrefPubMedGoogle Scholar
  • 19 Homolak J. Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma. Croat Med J 2023; 64 (01) 1-3
    CrossrefPubMedGoogle Scholar
  • 20 Patel SB, Lam K. ChatGPT: the future of discharge summaries?. Lancet Digit Health 2023; 5 (03) e107-e108
    CrossrefPubMedGoogle Scholar
  • 21 Stopford E, Ninan S, Spencer N. How to write a discharge summary. BMJ 2015; 351: h2696
    CrossrefGoogle Scholar
  • 22 Cresswell A, Hart M, Suchanek O, Young T, Leaver L, Hibbs S. Mind the gap: Improving discharge communication between secondary and primary care. BMJ Qual Improv Rep 2015; 4 (01) u207936.w3197
    CrossrefPubMedGoogle Scholar
  • 23 Weetman K, Dale J, Spencer R, Scott E, Schnurr S. GP perspectives on hospital discharge letters: an interview and focus group study. BJGP Open 2020; 4 (02) bjgpopen20  × 101031
    CrossrefPubMedGoogle Scholar
  • 24 Singh S, Djalilian A, Ali MJ. ChatGPT and ophthalmology: exploring its potential with discharge summaries and operative notes. Semin Ophthalmol 2023; 38 (05) 503-507
    CrossrefPubMedGoogle Scholar
  • 25 Powles J, Hodson H. Google DeepMind and healthcare in an age of algorithms. Health Technol (Berl) 2017; 7 (04) 351-367
    CrossrefPubMedGoogle Scholar
  • 26 Ando K, Okumura T, Komachi M, Horiguchi H, Matsumoto Y. Is artificial intelligence capable of generating hospital discharge summaries from inpatient records?. PLOS Digit Health 2022; 1 (12) e0000158
    CrossrefPubMedGoogle Scholar
  • 27 Milne-Ives M, de Cock C, Lim E. et al. The effectiveness of artificial intelligence conversational agents in health care: systematic review. J Med Internet Res 2020; 22 (10) e20346
    CrossrefPubMedGoogle Scholar
  • 28 Aggarwal A, Tam CC, Wu D, Li X, Qiao S. Artificial intelligence-based chatbots for promoting health behavioral changes: systematic review. J Med Internet Res 2023; 25: e40789
    CrossrefPubMedGoogle Scholar
  • 29 Dwyer T, Hoit G, Burns D. et al. Use of an artificial intelligence conversational agent (Chatbot) for hip arthroscopy patients following surgery. Arthrosc Sports Med Rehabil 2023; 5 (02) e495-e505
    CrossrefPubMedGoogle Scholar
  • 30 Ali SR, Dobbs TD, Hutchings HA, Whitaker IS. Using ChatGPT to write patient clinic letters. Lancet Digit Health 2023; 5 (04) e179-e181
    CrossrefPubMedGoogle Scholar
  • 31 Kahambing JG. ChatGPT, public health communication and 'intelligent patient companionship'. J Public Health (Oxf) 2023; fdad028
    Google Scholar
  • 32 Oh N, Choi G-S, Lee WY. ChatGPT goes to operating room: evaluating GPT-4 performance and its potential in surgical education and training in the era of large language models. medRxiv. 2023:2023.2003.2016.23287340
    Google Scholar
  • 33 Kung TH, Cheatham M, Medenilla A. et al. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digit Health 2023; 2 (02) e0000198
    CrossrefPubMedGoogle Scholar
  • 34 Khan RA, Jawaid M, Khan AR, Sajjad M. ChatGPT - reshaping medical education and clinical management. Pak J Med Sci 2023; 39 (02) 605-607
    PubMedGoogle Scholar
  • 35 Han Z, Battaglia F, Udaiyar A, Fooks A, Terlecky SR. An explorative assessment of ChatGPT as an aid in medical education: use it with caution. medRxiv. 2023:2023.2002.2013.23285879
    Google Scholar
  • 36 Hosseini M, Gao CA, Liebovitz DM. et al. An exploratory survey about using ChatGPT in education, healthcare, and research. medRxiv 2023; 23287979
    Google Scholar