A Deep Learning Model Enhances Clinicians' Diagnostic Accuracy to Over 96% for Anterior Cruciate Ligament Ruptures on MRI.
暂无分享,去创建一个
G. Ji | D. Jiang | Jia Ding | Dingyu Wang | Hui-shu Yuan | Jia Xin Yu | De-Sheng Chen | Nan Li | Jia Jiang | An-lan Sun | Shang Liu | Jin-zhong Zhao
[1] M. Kocher,et al. Development of Anatomic Risk Factors for ACL Injuries: A Comparison Between ACL-Injured Knees and Matched Controls , 2023, The American journal of sports medicine.
[2] M. Matava,et al. Use of Publicly Obtained Data in Sports Medicine Research: A Systematic Review and Bibliometric Analysis , 2023, The American journal of sports medicine.
[3] Qi Zhao,et al. Artificial Intelligence-Aided Optical Imaging for Cancer Theranostics. , 2023, Seminars in cancer biology.
[4] J. L. Whittaker,et al. Knee and overall health-related quality of life following anterior cruciate ligament injury: A cross-sectional analysis of Australian and Canadian cohorts. , 2023, The Journal of orthopaedic and sports physical therapy.
[5] Meng Wu,et al. Artificial Intelligence Aids Detection of Rotator Cuff Pathology: A Systematic Review. , 2023, Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association.
[6] Christopher L. Camp,et al. Predicting the Risk of Posttraumatic Osteoarthritis After Primary Anterior Cruciate Ligament Reconstruction: A Machine Learning Time-to-Event Analysis , 2023, The American journal of sports medicine.
[7] Guanjun Sun,et al. The posterior cruciate ligament index as a reliable indirect sign of anterior cruciate ligament rupture is associated with the course of knee joint injury , 2023, Knee Surgery, Sports Traumatology, Arthroscopy.
[8] G. d’Assignies,et al. Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation , 2022, European Radiology.
[9] G. Hamarneh,et al. A Survey on Deep Learning for Skin Lesion Segmentation , 2022, Medical Image Anal..
[10] Quan Zhou,et al. Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard , 2020, Journal of magnetic resonance imaging : JMRI.
[11] J. Guettler,et al. Implementing the Lever Sign in the Emergency Department: Does it Assist in Acute Anterior Cruciate Ligament Rupture Diagnosis? A Pilot Study. , 2019, The Journal of emergency medicine.
[12] Nabile M. Safdar,et al. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. , 2019, Journal of the American College of Radiology : JACR.
[13] Qian Zhou,et al. Optimizing the study design of clinical trials to identify the efficacy of artificial intelligence tools in clinical practices , 2019, EClinicalMedicine.
[14] Richard Kijowski,et al. Fully Automated Diagnosis of Anterior Cruciate Ligament Tears on Knee MR Images by Using Deep Learning. , 2019, Radiology. Artificial intelligence.
[15] Peter D Chang,et al. Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear , 2019, Journal of Digital Imaging.
[16] A. Ng,et al. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet , 2018, PLoS medicine.
[17] F. Liu,et al. Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection. , 2018, Radiology.
[18] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Davide Castelvecchi,et al. Can we open the black box of AI? , 2016, Nature.
[20] L. Shepstone,et al. Secondary signs on static stress MRI in anterior cruciate ligament rupture. , 2011, The Knee.
[21] P. Parizel,et al. Three tesla magnetic resonance imaging of the anterior cruciate ligament of the knee: can we differentiate complete from partial tears? , 2011, Skeletal Radiology.
[22] J. Mandrekar. Receiver operating characteristic curve in diagnostic test assessment. , 2010, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.
[23] F. Kummer,et al. Effect of specialty and experience on the interpretation of knee MRI scans. , 2008, Bulletin of the NYU hospital for joint diseases.