The findings of this study have important implications for public health and clinical practice. Although ChatGPT demonstrates potential as a supportive tool for generating comprehensive and structured treatment discussions, its deficits in accuracy and feasibility highlight the risks of relying on AI for complex decision-making in healthcare. For clinicians, ChatGPT could serve as a supplementary resource, particularly for ensuring no critical specialty is overlooked, but its recommendations require careful human review to avoid errors that could compromise patient safety. For health systems and policymakers, the results underscore the importance of keeping AI use strictly within supportive, rather than autonomous, roles until significant improvements are made. From a research and development perspective, these findings point to the need for fine-tuning large language models for medical applications, incorporating multimodal clinical data, and conducting prospective studies with standardized evaluation frameworks. Ultimately, while ChatGPT may enhance efficiency and comprehensiveness in MDT workflows, its integration must be accompanied by rigorous safeguards and human oversight to ensure safe and effective patient care.