Staying ahead of
Symptoms

코어라인소프트는
증상보다 앞서 질병을 발견합니다.

Artificial intelligence-assisted longitudinal assessment of coronary artery calcification in the Korean lung cancer screening CT program

Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset

Evaluation of Autoimmune Features in Patients with Idiopathic Pulmonary Fibrosis and Pathologic Usual Interstitial Pneumonia: Implications for CT Patterns and Prognosis

Evaluation of the clinical utility of lateral cephalometry reconstructed from computed tomography extracted by artificial intelligence

Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep Learning

Long-Term Follow-Up of Interstitial Lung Abnormalities in Low-Dose Chest CT in Health Screening: Exploring the Predictors of Clinically Significant Interstitial Lung Diseases Using Artificial Intelligence-Based Quantitative CT Analysis

Significant Influence of Cardiac Radiation Dose on the Risk of Cardiotoxicity in Patients Receiving Adjuvant Trastuzumab and Radiation Therapy for Breast Cancer

Automated Measurement of Coronary Artery Calcifications and Routine Perioperative Blood Tests Predict Survival in Resected Stage I Lung Cancer