Using AI, Early Diagnosis of Breast Cancer...Gyeongsang National University Hospital Introduces Related Software
Sep 15, 2025
Gyeongsang National University Hospital (Hospital Director Ahn Sung-ki) recently introduced 'Lunit INSIGHT' and 'CADstream', which are artificial intelligence (hereinafter referred to as 'AI')-based diagnostic assistance software, to detect breast cancer early and establish a precise treatment plan and use it in the clinical field.
Lunet Insight is an AI diagnostic assistance software specialized in mammography image analysis, and AI that has learned numerous breast cancer data sensitively detects and analyzes fine calcification or structural distortions that are easy for medical staff to overlook with the naked eye.
This allows early diagnosis by quickly and accurately detecting early cancer, shortening the reading time, reducing the fatigue of medical staff and reducing the possibility of misdiagnosis.
Supporting breast MRI analysis, 'CADstream' automatically processes MRI image data to quickly provide key information.
The software helps distinguish between malignant and benign lesions, and visualizes the size, location, and spread of the tumor in 3D images to help medical staff plan more precise surgery and treatment.
Choi Hye-young, director of radiology, said "This introduction of AI-based diagnostic assistance software will be of great help in early detection of breast cancer, accurate diagnosis, and patient-specific treatment plans."We will continue to actively introduce advanced medical technologies using AI to provide rapid and systematic medical services to local residents."
Lunet Insight is an AI diagnostic assistance software specialized in mammography image analysis, and AI that has learned numerous breast cancer data sensitively detects and analyzes fine calcification or structural distortions that are easy for medical staff to overlook with the naked eye.
This allows early diagnosis by quickly and accurately detecting early cancer, shortening the reading time, reducing the fatigue of medical staff and reducing the possibility of misdiagnosis.
Supporting breast MRI analysis, 'CADstream' automatically processes MRI image data to quickly provide key information.
The software helps distinguish between malignant and benign lesions, and visualizes the size, location, and spread of the tumor in 3D images to help medical staff plan more precise surgery and treatment.
Choi Hye-young, director of radiology, said "This introduction of AI-based diagnostic assistance software will be of great help in early detection of breast cancer, accurate diagnosis, and patient-specific treatment plans."We will continue to actively introduce advanced medical technologies using AI to provide rapid and systematic medical services to local residents."
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This article was translated by Naver AI translator.
