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Can Artificial Intelligence Software be Utilised for Thyroid Multi‐Disciplinary Team Outcomes?
Author(s) -
Habeeb Amir,
Lim Kim Hui,
Kochilas Xenofon,
Bhat Nazir,
Amen Furrat,
Chan Samuel
Publication year - 2025
Publication title -
clinical otolaryngology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.914
H-Index - 68
eISSN - 1749-4486
pISSN - 1749-4478
DOI - 10.1111/coa.14305
Subject(s) - medicine , concordance , multidisciplinary team , thyroid , thyroid cancer , incidence (geometry) , nursing , physics , optics
ABSTRACT Objectives ChatGPT is one of the most publicly available artificial intelligence (AI) softwares. Ear, nose and throat (ENT) services are often stretched due to the increasing incidence of thyroid malignancies. This study aims to investigate whether there is a role for AI software in providing accurate thyroid multidisciplinary team (MDT) outcomes. Methods A retrospective study looking at unique thyroid MDT outcomes between October 2023 and May 2024. ChatGPT‐4TM was used to generate outcomes based on the British Thyroid Association (BTA) Guidelines for Management of Thyroid Cancer. Concordance levels were collected and analysed. Results Thirty thyroid cases with a mean age of 58 ( n  = 24 female, n  = 6 male) were discussed. The MDT's outcome had a 100% concordance with BTA Guidelines. When comparing ChatGPT‐4TM and our MDT the highest level of concordance Y1 was seen in 67% of case while 13% of cases were completely discordant. Conclusions/Significance AI is cheap, easy to use can optimise complex thyroid MDT decision making. This could free some clinicians allowing them to meet other demands of the ENT service. Some key issues are the inability to completely rely on the AI software for outcomes without being counterchecked by a clinician.

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