ArticleClinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery2025
Can Artificial Intelligence Software be Utilised for Thyroid Multi-Disciplinary Team Outcomes?
Article in Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Development of a ChatGPT-based assistant in multidisciplinary team discussions in oncological urology: the UroMDT Advisor study.International urology and nephrology · 2026Article
- Assessing the performance of three large language models in thyroid cancer tumour board decision-making.Updates in surgery · 2026Article
- Multidisciplinary team diagnosis and treatment of well-differentiated thyroid carcinoma: current landscape and future prospects.The oncologist · 2026Review
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6 authors.
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Abstract
objectivesChatGPT 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.
methodsA 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.
resultsThirty 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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