Can chatbots enhance the management of pediatric sialadenitis in clinical practice?

Artificial intelligence chatbot ChatGPT Clinical decision support Pediatric sialadenitis Sialendoscopy

Journal

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
ISSN: 1434-4726
Titre abrégé: Eur Arch Otorhinolaryngol
Pays: Germany
ID NLM: 9002937

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 06 05 2024
accepted: 17 06 2024
medline: 3 7 2024
pubmed: 3 7 2024
entrez: 2 7 2024
Statut: aheadofprint

Résumé

The purpose of this study was to assess how well ChatGPT, an AI-powered chatbot, performed in helping to manage pediatric sialadenitis and identify when sialendoscopy was necessary. 49 clinical cases of pediatric sialadenitis were retrospectively reviewed. ChatGPT was given patient data, and it offered differential diagnoses, proposed further tests, and suggested treatments. The decisions made by the treating otolaryngologists were contrasted with the answers provided by ChatGPT. Analysis was done on ChatGPT response consistency and interrater reliability. ChatGPT showed 78.57% accuracy in primary diagnosis, and 17.35% of cases were considered likely. On the other hand, otolaryngologists recommended fewer further examinations than ChatGPT (111 vs. 60, p < 0.001). For additional exams, poor agreement was found between ChatGPT and otolaryngologists. Only 28.57% of cases received a pertinent and essential treatment plan via ChatGPT, indicating that the platform's treatment recommendations were frequently lacking. For treatment ratings, judges' interrater reliability was greatest (Kendall's tau = 0.824, p < 0.001). For the most part, ChatGPT's response constancy was high. Although ChatGPT has the potential to correctly diagnose pediatric sialadenitis, there are a number of noteworthy limitations with regard to its ability to suggest further testing and treatment regimens. Before widespread clinical use, more research and confirmation are required. To guarantee that chatbots are utilized properly and effectively to supplement human expertise rather than to replace it, a critical viewpoint is required.

Identifiants

pubmed: 38955859
doi: 10.1007/s00405-024-08798-4
pii: 10.1007/s00405-024-08798-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Antonino Maniaci (A)

Faculty of Medicine and Surgery, University of Enna Kore, 94100, Enna, Italy. antonino.maniaci@unikore.it.

Matteo Lazzeroni (M)

Department of Otolaryngology and Head and Neck Surgery, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Department of Clinical Sciences and Community, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

Anna Cozzi (A)

Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università Degli Studi di Milano, 20142, Milan, Italy.

Francesca Fraccaroli (F)

Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università Degli Studi di Milano, 20142, Milan, Italy.

Michele Gaffuri (M)

Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università Degli Studi di Milano, 20142, Milan, Italy.

Carlos Chiesa-Estomba (C)

Department of Otolaryngology-Head and Neck Surgery, San Sebastian University Hospital, San Sebastián, Spain.

Pasquale Capaccio (P)

Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università Degli Studi di Milano, 20142, Milan, Italy.

Classifications MeSH