External Validation of an Intelligent Diagnosis Model for Chest X-ray.
Principal Investigator
Name
Zhangyan Lyu
Institution
Tianjin Medical University Cancer Institute and Hospital
Position Title
Research Associate
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCOI-905
Initial CDAS Request Approval
Feb 2, 2022
Title
External Validation of an Intelligent Diagnosis Model for Chest X-ray.
Summary
Lung cancer has become a huge burden for human health. Population-based community screening to identify pulmonary nodules may be the best way for early diagnosis and early treatment of lung cancer. Low-dose CT (LDCT) examination is currently an internationally recognized method for lung cancer screening, but it cannot be widely performed in regions with limited equipment. X-ray film is still the main method for lung cancer screening in certain communities, while the diagnostic accuracy of chest radiography restricts the screening efficiency. Artificial intelligence technology can improve the recognition of medical images, and thus provide new ideas for lung nodule discrimination and lung cancer diagnosis. We proposed to validate the intelligent diagnosis model for chest X-ray which we developed utilizing Tianjin Database. The results can be applied to community lung cancer screening in developed countries/regions including China to enhancing the efficiency of early diagnosis and early treatment for lung cancer.
Aims
To evaluate the accuracy of the Intelligent Diagnosis Model for Chest X-ray and the effectiveness of AI-assisted chest radiography in lung cancer screening.
Collaborators
None.