Facial Plast Surg 2024; 40(05): 623-627
DOI: 10.1055/a-2218-6984
Original Research

Effectiveness of ChatGPT in Identifying and Accurately Guiding Patients in Rhinoplasty Complications

Germán A. Soto-Galindo
1   International Fellow of the European Academy of Facial Plastic Surgery, Ege University, Izmir, Türkiye
,
Marta Capelleras
2   Clinical Fellow of the European Academy of Facial Plastic Surgery, Ege University, Izmir, Türkiye
,
Marc Cruellas
3   Otolaryngology – Head and Neck Surgery Resident, Department of Otorhinolaryngology, Hospital Universtari de Bellvitge, Barcelona, Spain
,
Fazil Apaydin
4   Division of Facial Plastic and Reconstructive Surgery, Department of Otorhinolaryngology, Ege University, Izmir, Türkiye
› Institutsangaben
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Abstract

Postoperative complications in rhinoplasty require prompt intervention for optimal outcomes. ChatGPT, an artificial intelligence (AI) tool, offers potential for assisting in postoperative care.

This study aims to assess ChatGPT's effectiveness in providing guidance for various rhinoplasty complications.

Different complication scenarios were input into ChatGPT. Responses were categorized into “Contact Surgeon” or “Follow Postoperative Instructions.”

ChatGPT consistently advised immediate surgeon contact for infection. For other complications, it recommended monitoring and adhering to instructions while suggesting surgeon contact if concerns persisted.

ChatGPT shows promise in aiding patients' postoperative care by accurately identifying cases necessitating communication with surgeons or emergency care. This research underscores AI's potential in enhancing patient-centered care and contributes to the evolving landscape of health care practices.

Author Contributions

G.A.S-G. contributed to conception of the study, acquisition and analysis of data, interpretation of data, draft revision, and final approval of the manuscript. M.Ca. and M.Cr. contributed to the conception and design of the study, analysis of data, draft revision, and final approval of the manuscript. F.A. contributed to the analysis of data, draft revision, and final approval of the manuscript.




Publikationsverlauf

Accepted Manuscript online:
28. November 2023

Artikel online veröffentlicht:
27. Dezember 2023

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