A comparative study of the significance of GPT-enabled counseling and management of pulmonary nodules

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 AIpowered early lung cancer screening. The protocol has passed ethical review, with anonymized data processing ensuring both innovation and safety.

Key Words: plmonary nodule; BAIMGPT; DeepSeek GPT