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Machine Learning (3355) Clinical Information and Decision Making (3914) Respiratory Medicine (224) Decision Support for Health Professionals (2367) Artificial Intelligence (5060) Pulmonology, COPD (239)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86639, first published .
Doctors reviewing lung x-ray with highlighted area indicating potential issue.

Differential Diagnosis of Early-Stage Pulmonary Sarcoidosis With Normal Serum Angiotensin-Converting Enzyme Activity Using Peripheral Blood Indicators: Machine Learning Models Development and Validation

Differential Diagnosis of Early-Stage Pulmonary Sarcoidosis With Normal Serum Angiotensin-Converting Enzyme Activity Using Peripheral Blood Indicators: Machine Learning Models Development and Validation

Authors of this article:

Lixiuyun Wang1 Author Orcid Image ;   Yafei Tang2 Author Orcid Image ;   Jun Ma1 Author Orcid Image ;   Shuqi Wang3 Author Orcid Image ;   Guoqiang Yang2 Author Orcid Image ;   Jin Huang2 Author Orcid Image ;   Qiuhong Li4 Author Orcid Image ;   Yonghong Feng1 Author Orcid Image
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Lixiuyun Wang   1 * , MPH ;   Yafei Tang   2 * , MPH ;   Jun Ma   1 * , MD ;   Shuqi Wang   3 , MPH ;   Guoqiang Yang   2 , MPH ;   Jin Huang   2 , PhD ;   Qiuhong Li   4 , MD ;   Yonghong Feng   1 , PhD

1 Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China

2 School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China

3 Puxing Community Health Center, Pudong New District, Shanghai, China

4 Department of Respiratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China

*these authors contributed equally

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