Analysis of clinical treatment of acute respiratory distress syndrome assisted by artificial intelligence

• Published in: Zhonghua wei zhong bing ji jiu yi xue Vol. 36; no. 4; p. 369
• Main Authors: Yang, Zhiwei, Zu, Yiwen, Luo, Yuquan, Du, Quansheng
• Format: Journal Article
• Language: Chinese
• Published: China 01.04.2024
• Subjects: Artificial Intelligence; Female; Humans; Intensive Care Units; Male; Middle Aged; Respiration, Artificial - methods; Respiratory Distress Syndrome - diagnosis; Respiratory Distress Syndrome - epidemiology; Respiratory Distress Syndrome - therapy; Retrospective Studies
• ISSN: 2095-4352
• DOI: 10.3760/cma.j.cn121430-20231027-00916

To evaluate the clinical practice of intensive care unit (ICU) physicians at Hebei General Hospital in identifying patients meeting the diagnostic criteria for acute respiratory distress syndrome (ARDS) and the current status of invasive mechanical ventilation management and adjunctive therapy in these patients, and to analyze the incidence and clinical outcomes of ARDS. A retrospective cohort study was conducted. The patients who were hospitalized in the ICU of Hebei General Hospital from April 10, 2017 to June 30, 2022 and met the Berlin definition diagnostic criteria for ARDS were enrolled as study subjects. Artificial intelligence (AI) technology was applied to search the basic information (age, gender, height, body weight, etc.), auxiliary examination, electronic medical record, non-drug doctor's advice, drug doctor's advice, critical report, scoring system, monitoring master table and other data of the above medical records in the electronic medical record system of the hospital. The first set of labora