This study evaluates the role of advanced artificial intelligence, specifically ChatGPT 3.5 and ChatGPT 4.0, in multidisciplinary tumor board (MDT) decision-making for primary head and neck cancer cases. The research compares the recommendations of these AI models with those of traditional MDTs in a pilot study involving 20 consecutive patients with primary head and neck cancer. The results show that while ChatGPT 3.5 and 4.0 provide comprehensive lists of treatment options, they often suggest more therapies than the MDT, including some that are not part of current treatment guidelines. Both models perform well in terms of clinical recommendation, explanation, and summarization, but they lack personalized treatment planning and can recommend incorrect treatment options. The study concludes that while AI models can assist in MDT settings, they currently cannot replace the expertise of healthcare professionals. The limitations include the lack of personalized treatment planning, the recommendation of incorrect guidelines, and the absence of source information in ChatGPT 3.5. Despite these limitations, the study highlights the potential of AI in enhancing efficiency and providing rapid access to information in clinical workflows.This study evaluates the role of advanced artificial intelligence, specifically ChatGPT 3.5 and ChatGPT 4.0, in multidisciplinary tumor board (MDT) decision-making for primary head and neck cancer cases. The research compares the recommendations of these AI models with those of traditional MDTs in a pilot study involving 20 consecutive patients with primary head and neck cancer. The results show that while ChatGPT 3.5 and 4.0 provide comprehensive lists of treatment options, they often suggest more therapies than the MDT, including some that are not part of current treatment guidelines. Both models perform well in terms of clinical recommendation, explanation, and summarization, but they lack personalized treatment planning and can recommend incorrect treatment options. The study concludes that while AI models can assist in MDT settings, they currently cannot replace the expertise of healthcare professionals. The limitations include the lack of personalized treatment planning, the recommendation of incorrect guidelines, and the absence of source information in ChatGPT 3.5. Despite these limitations, the study highlights the potential of AI in enhancing efficiency and providing rapid access to information in clinical workflows.