2024 | Artificial intelligence-based computer-aided diagnosis abnormality score trends in the serial mammography of patients with breast cancer | EUROPEAN JOURNAL OF RADIOLOGY |
2024 | Factors for increasing positive predictive value of pneumothorax detection on chest radiographs using artificial intelligence
| SCIENTIFIC REPORTS |
2024 | Development of a new prognostic model to predict pneumonia outcome using artificial intelligence-based chest radiograph results
| SCIENTIFIC REPORTS |
2024 | Bioelectrical impedance parameters add incremental value to waist-to-hip ratio for prediction of metabolic dysfunction associated steatotic liver disease in youth with overweight and obesity
| FRONTIERS IN ENDOCRINOLOGY |
2024 | Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time
| RADIOLOGY-ARTIFICIAL INTELLIGENCE |
2024 | Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for Mammography
| KOREAN JOURNAL OF RADIOLOGY |
2024 | Diagnostic performance with and without artificial intelligence assistance in real-world screening mammography
| EUROPEAN JOURNAL OF RADIOLOGY OPEN |
2023 | 3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net
| SCIENTIFIC REPORTS |
2023 | Comparison of Diagnostic Performances among Different Interpretation Schemes for Screening Mammography: A simulation study
| Journal of the Korean Society for Breast Screening(대한유방검진학회지) |
2023 | Clinical outcomes and actual consequence of lung nodules incidentally detected on chest radiographs by artificial intelligence
| SCIENTIFIC REPORTS |
2023 | Efficient Collaboration Between Radiologists Using the PACS-Integrated Refer Function to Reduce Communication Times | JOURNAL OF DIGITAL IMAGING |
2023 | Consistency of Artificial Intelligence (AI)-based Diagnostic Support Software in Short-term Digital Mammography Reimaging After Core Needle Biopsy | JOURNAL OF DIGITAL IMAGING |
2023 | Machine Learning Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy for ER+HER2- Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic Features
| DIAGNOSTICS |
2023 | Novel Risks of Unfavorable Corticosteroid Response in Patients with Mild-to-Moderate COVID-19 Identified Using Artificial Intelligence-Assisted Analysis of Chest Radiographs
| JOURNAL OF CLINICAL MEDICINE |
2023 | Artificial intelligence-based computer-assisted detection/diagnosis (AI-CAD) for screening mammography: Outcomes of AI-CAD in the mammographic interpretation workflow
| EUROPEAN JOURNAL OF RADIOLOGY OPEN |
2023 | Beyond the AJR: Deep Learning Model for Risk-Based Breast Cancer Screening | AMERICAN JOURNAL OF ROENTGENOLOGY |
2023 | Clinical Implication and Prognostic Value of Artificial-Intelligence-Based Results of Chest Radiographs for Assessing Clinical Outcomes of COVID-19 Patients
| DIAGNOSTICS |
2023 | The impact of artificial intelligence on the reading times of radiologists for chest radiographs
| NPJ DIGITAL MEDICINE(Nature partner journals digital medicine Digital medicine) |
2023 | Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs
| PLOS ONE |
2023 | Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs
| PLOS ONE |
2022 | Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound | JOURNAL OF DIGITAL IMAGING |
2022 | Depiction of breast cancers on digital mammograms by artificial intelligence-based computer-assisted diagnosis according to cancer characteristics | EUROPEAN RADIOLOGY |
2022 | AI-CAD for differentiating lesions presenting as calcifications only on mammography: outcome analysis incorporating the ACR BI-RADS descriptors for calcifications | EUROPEAN RADIOLOGY |
2022 | Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level
| ULTRASONOGRAPHY |
2022 | Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice
| KOREAN JOURNAL OF RADIOLOGY |
2022 | Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs
| SCIENTIFIC REPORTS |
2022 | US, Mammography, and Histopathologic Evaluation to Identify Low Nuclear Grade Ductal Carcinoma in Situ | RADIOLOGY |
2022 | Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment | JOURNAL OF DIGITAL IMAGING |
2022 | Research Highlight: Artificial Intelligence for Ruling Out Negative Examinations in Screening Breast MRI
| KOREAN JOURNAL OF RADIOLOGY |
2022 | Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence-Based Computer-Aided Detection | AMERICAN JOURNAL OF ROENTGENOLOGY |
2022 | Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography | CLINICAL BREAST CANCER |
2022 | Fabrication and evaluation of bilateral Helmholtz radiofrequency coil for thermo-stable breast image with reduced artifacts
| JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS |
2022 | Sonographic predictors of aggressive behavior in medullary thyroid carcinomas
| ASIAN JOURNAL OF SURGERY |
2022 | Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI | EUROPEAN RADIOLOGY |
2021 | Chronological Trends of Breast Ductal Carcinoma In Situ: Clinical, Radiologic, and Pathologic Perspectives | ANNALS OF SURGICAL ONCOLOGY |
2021 | Application of artificial intelligence-based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms | EUROPEAN RADIOLOGY |
2021 | Deep Learning-Based Artificial Intelligence for Mammography
| KOREAN JOURNAL OF RADIOLOGY |
2021 | Added Value of MRI for Invasive Breast Cancer including the Entire Axilla for Evaluation of High-Level or Advanced Axillary Lymph Node Metastasis in the Post-ACOSOG Z0011 Trial Era | RADIOLOGY |
2021 | Calcifications with suspicious morphology at mammography: should they all be considered with the same clinical significance? | EUROPEAN RADIOLOGY |
2021 | Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses
| SCIENTIFIC REPORTS |
2021 | Survival Rates of Breast Cancer Patients Aged 40 to 49 Years according to Detection Modality in Korea: Screening Ultrasound versus Mammography
| KOREAN JOURNAL OF RADIOLOGY |
2021 | Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer
| ULTRASONOGRAPHY |
2020 | 유방촬영의 위양성 판정에 관한 전통적 진단보조프로그램과 인공지능 기반 진단보조프로그램의 비교
| Journal of the Korean Society for Breast Screening |
2020 | Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis
| SCIENTIFIC REPORTS |
2020 | Cytopathologic criteria and size should be considered in comparison of fine-needle aspiration vs. core-needle biopsy for thyroid nodules: results based on large surgical series | ENDOCRINE |
2020 | Comparing recall rates following implementation of digital breast tomosynthesis to synthetic 2D images and digital mammography on women with breast-conserving surgery | EUROPEAN RADIOLOGY |
2020 | Strap muscle invasion in differentiated thyroid cancer does not impact disease-specific survival: a population-based study
| SCIENTIFIC REPORTS |
2020 | Factors Predicting Breast Cancer Development in Women During Surveillance After Surgery for Atypical Ductal Hyperplasia of the Breast: Analysis of Clinical, Radiologic, and Histopathologic Features | ANNALS OF SURGICAL ONCOLOGY |
2020 | Guideline Implementation on Fine-Needle Aspiration for Thyroid Nodules: Focusing on Micronodules | ENDOCRINE PRACTICE |
2020 | Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network
| SCIENTIFIC REPORTS |