Research Information System
ACTA OTO-LARYNGOLOGICA, vol.1, no.1, pp.1-6, 2025 (SCI-Expanded, Scopus)
Artificial intelligence-based clinical decision support systems are promising tools for addressing the increasing complexity of oncological data and treatment. However, the integration and validation of models such as ChatGPT within multidisciplinary decision-making processes for head and neck cancers remain limited.
To evaluate the performance of ChatGPT-4 in the management of primary laryngeal cancer and compare it with multidisciplinary tumor board (MDT) decisions.
The medical records of 25 patients with untreated laryngeal cancer were evaluated using ChatGPT-4 for therapeutic recommendations. The coherence of responses was graded from Grade 1 (totally coherent) to Grade 4 (totally incoherent) and compared with actual MDT decisions. The association between patient features and response grades was also assessed.
ChatGPT-4 provided totally coherent (Grade 1) responses consistent with MDT decisions in 72% of the patients. The rates of Grade 2 and Grade 3 coherent responses were 20% and 8%, respectively. There were no totally incoherent responses. There was no significant association between the grade of coherence and T stage, N stage, tumor localization, differentiation, or age (p = 0.106, p = 0.588, p = 0.271, p = 0.677, p = 0.506, respectively).
With further improvements, ChatGPT-4 can be a promising adjunct tool for clinicians in decision-making for primary laryngeal cancer.