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find Author "徐修远" 2 results
  • Construction of a thoracic surgery database system and platform for regional information interactions on pulmonary tuberculosis

    Objective To collect and store all interactions relating to medical information between our center and allied specialized hospitals by constructing a database system for thoracic surgery and pulmonary tuberculosis. Methods We collected all related medical records of patients who had been clinically diagnosed with pulmonary tuberculosis and tuberculous empyema using the CouchBase Database, including outpatient and inpatient system of the Department of Thoracic Surgery at the Public Health Clinical Center of Chengdu between January 2017 to June 2023. Then, we integrated all medical records derived from the radiology information system, hospital information system, image archiving and communication systems, and the laboratory information management system. Finally, we used artificial intelligence to generate a database system for the application of thoracic surgery on pulmonary tuberculosis, which stored structured medical data from different hospitals along with data collected from patients via WeChat users. The new database could share medical data between our center and allied hospitals by using a front-end processor. ResultsWe finally included 124 patients with 86 males and 38 females aged 43 (26, 56) years. A structured database for the application of thoracic surgery on patients with pulmonary tuberculosis was successfully constructed. A follow-up list created by the database can help outpatient doctors to complete follow-up tasks on time. All structured data can be downloaded in the form of Microsoft Excel files to meet the needs of different clinical researchers. Conclusion Our new database allows medical data to be structured, stored and shared between our center and allied hospitals. The database represents a powerful platform for interactions relating to regional information concerning pulmonary tuberculosis.

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  • 利用深度学习技术辅助肺结节的人工智能检测

    Release date:2019-05-23 04:40 Export PDF Favorites Scan
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