Guidelines and consensus
Open Access
Published June 30, 2025

White paper on pulmonary nodule expert—BAIMGPT

BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institution, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Chinese Alliance Against Lung Cancer, Shanghai 200032, China; International Alliance for Metaverse in Medicine, Suzhou 215163, Jiangsu, China
Author information
Article notes
Funding

BAI Chunxue, M.D., Ph.D., Professor, Chief Physician, Tel: 021-64041990, E-mail: bai.chunxue@zs-hospital.sh.cn

Received June 20, 2025; Accepted June 28, 2025; Published June 30, 2025
Supported by Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0529300).
Guidelines and consensus
Open Access
White paper on pulmonary nodule expert—BAIMGPT
BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institution, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Chinese Alliance Against Lung Cancer, Shanghai 200032, China; International Alliance for Metaverse in Medicine, Suzhou 215163, Jiangsu, China
Author information

BAI Chunxue, M.D., Ph.D., Professor, Chief Physician, Tel: 021-64041990, E-mail: bai.chunxue@zs-hospital.sh.cn

Article notes
Received June 20, 2025; Accepted June 28, 2025; Published June 30, 2025
Funding
Supported by Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0529300).
Published June 30, 2025
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Abstract

As the number one killer of cancer in the world, lung cancer causes about 2.1 million cases and more than 1.8 million deaths every year. AI technologies such as GPT have brought hope to the prevention and treatment of lung cancer, which can efficiently and accurately empower consultation and diagnosis and treatment suggestions through NLP, promote knowledge sharing and balanced improvement of medical standards, and provide patients with personalized health guidance and psychological comfort. The core technical principle is “four changes”. (1) Change the cleaning data to data selection; (2) Change simple consultation to face the digital expert; (3) Change blind favor to quality control and verification; (4) Change to simply evidence-based and increase medical experience. A controlled study between BAIMGPT and DeepSeek has shown significant advantages in terms of intimacy, security, question understanding, and answer accuracy. Its unique technical architecture and “four innovations” ensure professionalism and accuracy and provide an important reference for the future development of AI-assisted diagnosis systems. BAIMGPT can show significant value in key links such as lung cancer screening, pulmonary nodule consultation and management, diagnosis and staging, treatment plan formulation and postoperative management. Through intelligent image analysis, the diagnosis and treatment process can be optimized, medical costs can be reduced, and resource utilization efficiency can be improved. The successful implementation of BAIMGPT relies on the collaborative work of medical experts, information engineers, data analysis experts and other talents in multiple fields to jointly build a highly applicable and easy-to-operate knowledge system. Through the integration of interdisciplinary knowledge, the efficiency and accuracy of lung cancer screening and evaluation are improved, and the patient consultation experience is optimized. User experience optimization: BAIMGPT has been comprehensively optimized in terms of interface design, intimacy, sense of security, visual empowerment, voice interaction, accessibility and convenience, etc., to ensure that users can quickly get started and generate high-quality reports, enhance patient confidence, and optimize the diagnosis and treatment experience. BAIMGPT has been granted a registered trademark by the State Intellectual Property Office and approved by the Ethics Committee of Zhongshan Hospital. Cooperate with the International Metaverse Medical Association and the China Lung Cancer Prevention and Control Alliance to ensure the legitimacy and professionalism of the technology. At the same time, BAIMGPT strictly adheres to ethical requirements, reduces human bias, and ensures the fairness and transparency of the operation of the system. With the rapid development of AI technology, BAIMGPT will show potential in the field of lung cancer screening, evaluation and diagnosis and treatment. In the future, the efficiency and accuracy of the system can be further improved by combining other imaging technologies, optimizing the accuracy of disease-specific models, and expanding the functions of disease progression prediction. BAIMGPT is expected to become an important force in promoting the development of public health and helping to achieve the important goal of “Healthy China”.


Key Words: artificial intelligence; generative pre-trained transformer; natural language processing; lung cancer screening

Metaverse in Medicine

ISSN: 3006-4236

Volume 2, Issue 2

June 2025

Pages: 1-64

PDF CITE Accesses: 12
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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