RSNA 2024

Comparative Outcomes of Surgery and SBRT for Stage I Lung Cancer in Koreans: A Propensity Matched Multidisciplinary Cohort Study

Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial

High Recruitment Rate and Performance of a National Lung Cancer Screening Network Implementing Web-Based Instruments

Automated Reading May Improve the Safety of Triennial Lung Cancer Screening Intervals for Low-Risk Subjects

Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis

Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies

Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis

Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography

Comparative Outcomes of Surgery and SBRT for Stage I Lung Cancer in Koreans: A Propensity Matched Multidisciplinary Cohort Study

Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial

High Recruitment Rate and Performance of a National Lung Cancer Screening Network Implementing Web-Based Instruments

Automated Reading May Improve the Safety of Triennial Lung Cancer Screening Intervals for Low-Risk Subjects

Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies

Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography

Theranostics and artificial intelligence: new frontiers in personalized medicine

Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial

Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis

Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis

Novel risk score for predicting acute cardiovascular and cerebrovascular events after chest radiotherapy in patients with breast or lung cancer

Feasibility and limitations of deep learning–based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT

Effect of Evogliptin on the Progression of Aortic Valvular Calcification

Artificial Intelligence in Coronary Artery Calcium Scoring

Influence of computed tomography slice thickness on deep learning-based, automatic coronary artery calcium scoring software performance

Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification

Performance Evaluation of Automatic Segmentation based on Deep Learning and Atlas according to CT Image Acquisition Conditions (CT 영상획득 조건에 따른 딥 러닝과 아틀라스 기반의 자동분할 성능 평가)

Heart-Sparing Capability and Positional Reproducibility of Continuous Positive Airway Pressure in Left-Sided Breast Radiation Therapy

Experience of Implementing Deep Learning-Based Automatic Contouring in Breast Radiation Therapy Planning: Insights from Over 2,000 Cases

Evaluation of Deep Learning-based Auto-segmentation in Breast Cancer Radiotherapy

Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery

Evaluation of Deep Learning-Based Auto-Segmentation of Target Volume and Organs-at-Risk in Breast Cancer Patients

Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network

Population-based, three-dimensional analysis of age- and sex-related femur shaft geometry differences

Retrospective evaluation of the clinical utility of reconstructed computed tomography images using artificial intelligence in the oral and maxillofacial region

Differences in femur geometry and bone markers in atypical femur fractures and the general population

Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network

Three-dimensional measurement of the course of the radial nerve at the posterior humeral shaft: An in vivo anatomical study

Evaluation of Effective Condyle Positioning Assisted by 3D Surgical Guide in Mandibular Reconstruction Using Osteocutaneous Free Flap

Mirror Image Based Three-Dimensional Virtual Surgical Planning and Three-Dimensional Printing Guide System for the Reconstruction of Wide Maxilla Defect Using the Deep Circumflex Iliac Artery Free Flap