Acute Respiratory Distress Syndrome (ARDS) is one of the most challenging diseases in critical care medicine, with a mortality rate as high as 40-70%. The rapid and unpredictable disease progression, dispersed clinical information, long-term hospitalization requirements, and enormous medical resource consumption make it particularly difficult to manage. To improve ARDS care, our hospital's Thoracic Clinical Team, Artificial Intelligence Center, Digital Transformation Office, and Information Department jointly created "ARDiTeX: Multimodal Assisted Diagnostic System" to help with early detection, monitor the implementation of lung-protective ventilation, improve care quality, and reduce resource expenditure.

This system integrates medical data and presents analysis results through visualization dashboards, mainly comprising two major functions:

1. "ARDS Intelligent Detection System": Assesses risk through deep learning of X-ray images and oxygenation function indicators. When the probability of bilateral lung infiltration exceeds 50% and the P/F ratio is less than 300, the system automatically sends risk messages and activates lung-protective ventilation measures.
2. "ARDS Lung Protection Monitoring System": Presents real-time trends in patient oxygenation and lung protection status, helping the medical team adjust optimal treatment.

The system integrates physiological data, hemodynamics, blood test values, arterial blood gases, and ventilator parameters to enhance diagnostic accuracy and predict disease trends, enabling personalized treatment. In high-risk situations, it automatically sends clinical information and X-ray images to alert physicians. 

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Project Management Group +886-4-22052121 ext. 12534