LungGPT: A unified multimodal system for interpretable diagnosis and clinical decision support of respiratory diseases
Jun Shao, Xingting Liu, Zhihan Zhang, Shu Liao, Jiaojiao Wu, Haibo Yang, Zi-Hao Zhao, Liwen Wang, Shu-Fan Liang, Xinglie Wang, Junyao Tang, Yuan Liu, Feng Shi, Dinggang Shen, Weimin Li, Chengdi Wang · 2026
Read LungGPT: A unified multimodal system for interpretable diagnosis and clinical decision support of respiratory diseases by Jun Shao, Xingting Liu, Zhihan Zhang, Shu Liao, Jiaojiao Wu, Haibo Yang, Zi-Hao Zhao, Liwen Wang, Shu-Fan Liang, Xinglie Wang, Junyao Tang, Yuan Liu, Feng Shi, Dinggang Shen, Weimin Li, Chengdi Wang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13589472.txt.
Description
Jun Shao and colleagues presented an artificial intelligence system for lung disease in 2026. Lung diseases cause heavy illness burdens worldwide. Diagnosis is slow and leans on expert judgment. Their system, LungGPT, learned from health records of well over one hundred thousand people. It has two parts. One part handles diagnosis and early warning of critical illness. The other part explains its reasoning and suggests treatment.
In large tests, the diagnosis part scored strongly across many lung diseases. It scored highest for lung cancer and tuberculosis. Adding step-by-step reasoning and chest scan features improved early warnings. The explanation part produced clear, high-quality reasoning. It beat specialized clinical models on correctness and completeness. It matched strong general models on those same measures. The authors present the system as a standard support frame for lung care. They aim it at faster, safer clinical decisions.
Catalog record
| CREATOR | Jun Shao, Xingting Liu, Zhihan Zhang, Shu Liao, Jiaojiao Wu, Haibo Yang, Zi-Hao Zhao, Liwen Wang, Shu-Fan Liang, Xinglie Wang, Junyao Tang, Yuan Liu, Feng Shi, Dinggang Shen, Weimin Li, Chengdi Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |