Gachon University Gil Hospital introduces CT image analysis solution with increased AI-based diagnostic accuracy
Apr 23, 2025
Gachon University Gil Hospital (Hospital Director Kim Woo-kyung) introduces and operates a software solution for the Siemens Healthineers in Germany's AI-Rad Companion Chest CT'.
This solution is an AI-based chest CT image analysis solution that automatically analyzes chest CT images through artificial intelligence to increase diagnostic accuracy and reading efficiency.
Early detection of various lesions is possible by simultaneously analyzing not only lung diseases but also major chest organs such as the heart, aorta, and spine that can be confirmed through chest CT.
Through this software upgrade, Gachon University Gil Hospital will be able to automatically analyze, measure and generate reports of various organs and tissues △ Improve diagnostic accuracy and reliability of image reading using AI-based diagnostic assistance solutions △ More precise examination for high-risk patients or lung disease patients whose early diagnosis is important △.
Kim Woo-kyung, head of Gachon University Gil Hospital, said "By utilizing image diagnosis automation technology using artificial intelligence technology, we will improve the efficiency of clinical work such as lung disease and provide high-quality care to more patients."
This solution is an AI-based chest CT image analysis solution that automatically analyzes chest CT images through artificial intelligence to increase diagnostic accuracy and reading efficiency.
Early detection of various lesions is possible by simultaneously analyzing not only lung diseases but also major chest organs such as the heart, aorta, and spine that can be confirmed through chest CT.
Through this software upgrade, Gachon University Gil Hospital will be able to automatically analyze, measure and generate reports of various organs and tissues △ Improve diagnostic accuracy and reliability of image reading using AI-based diagnostic assistance solutions △ More precise examination for high-risk patients or lung disease patients whose early diagnosis is important △.
Kim Woo-kyung, head of Gachon University Gil Hospital, said "By utilizing image diagnosis automation technology using artificial intelligence technology, we will improve the efficiency of clinical work such as lung disease and provide high-quality care to more patients."
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This article was translated by Naver AI translator.
