AVIEW를 활용한 연구 결과를 확인하세요.

Artificial intelligence system for identification of overlooked lung metastasis in abdominopelvic computed tomography scans of patients with malignancy

Design and Rationale of the HANSE Study: A Holistic German Lung Cancer Screening Trial Using Low-Dose Computed Tomography

영상의학에서 폐영상 판독과 자료체계: 강점, 단점, 그리고 개선 (Lung Imaging Reporting and Data System (Lung-RADS) in Radiology: Strengths, Weaknesses and Improvement)

The current status and future of FDA-approved artificial intelligence tools in chest radiology in the United States

Differentiation of predominant subtypes of lung adenocarcinoma using a quantitative radiomics approach on CT

Assessment of artificial intelligence-aided computed tomography in lung cancer screening

Absolute ground truth-based validation of computer-aided nodule detection and volumetry in low-dose CT imaging

AI Can Greatly Reduce Radiologist Workload if Used as a First Read Filter to Rule-Out Negative Cases in Lung Cancer Screening