AI-based analysis to support the diagnosis of interstitial lung diseases
The early detection of ILD is critical due to their progressive fibrotic nature.
The aview Lung Texture technology leverages artificial intelligence to automatically quantify fibrous lesions, thus enabling accurate diagnosis through structured reports.
The use of advanced algorithms enables the automated analysis of the locations and distribution of the six recognized patterns associated with ILD.
By standardizing the analyses and minimizing variations in interpretation, this solution ensures accurate and reliable results.
The analyzed pattern can be compared with the original pattern in real time and can be easily adapted.
Automatically generated charts and tables are easy to understand.
Analysis results are presented in segmented lobes, making the visualized patterns clearly recognizable.
Prognostic value of deep learning-based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis
Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT
