Erim Pamuk, Yaşar Enez Bilen, Çağrı Külekçi, Oğuz Kuşcu
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引用次数: 0
Abstract
Background: 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.
Objective: To evaluate the performance of ChatGPT-4 in the management of primary laryngeal cancer and compare it with multidisciplinary tumor board (MDT) decisions.
Methods: 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.
Results: 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).
Conclusion: With further improvements, ChatGPT-4 can be a promising adjunct tool for clinicians in decision-making for primary laryngeal cancer.
期刊介绍:
Acta Oto-Laryngologica is a truly international journal for translational otolaryngology and head- and neck surgery. The journal presents cutting-edge papers on clinical practice, clinical research and basic sciences. Acta also bridges the gap between clinical and basic research.