This study aims to compare the clinical value of a general large language model(DeepSeek GPT)and a disease-specific optimized model(BAIMGPT)in pulmonary nodule consultation and management.Through a multicenter real-wo...This study aims to compare the clinical value of a general large language model(DeepSeek GPT)and a disease-specific optimized model(BAIMGPT)in pulmonary nodule consultation and management.Through a multicenter real-world study,1,000 patients with pulmonary nodules from 12 hospitals will be recruited for a randomized self-controlled trial evaluating the performance of the two models across eight dimensions:convenience,friendliness,sense of security,accuracy in question comprehension,response professionalism,voice interaction,visual empowerment,and demand level.The core methodologies include dual user evaluation,third-party blinded review,and endpoint assessment.The study was expected to validate BAIMGPT’s advantages in improving screening awareness,personalized management,and physician-patient trust,providing evidence-based support for AI-powered early lung cancer screening.The protocol has passed ethical review,with anonymized data processing ensuring both innovation and safety.展开更多
文摘This study aims to compare the clinical value of a general large language model(DeepSeek GPT)and a disease-specific optimized model(BAIMGPT)in pulmonary nodule consultation and management.Through a multicenter real-world study,1,000 patients with pulmonary nodules from 12 hospitals will be recruited for a randomized self-controlled trial evaluating the performance of the two models across eight dimensions:convenience,friendliness,sense of security,accuracy in question comprehension,response professionalism,voice interaction,visual empowerment,and demand level.The core methodologies include dual user evaluation,third-party blinded review,and endpoint assessment.The study was expected to validate BAIMGPT’s advantages in improving screening awareness,personalized management,and physician-patient trust,providing evidence-based support for AI-powered early lung cancer screening.The protocol has passed ethical review,with anonymized data processing ensuring both innovation and safety.
