标题/作者	年份
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi NPJ digital medicine 4 (1), 86	2021
Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs CT Cheng, TY Ho, TY Lee, CC Chang, CC Chou, CC Chen, I Chung, ... European radiology 29 (10), 5469-5477	2019
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics M Sollini, L Antunovic, A Chiti, M Kirienko European journal of nuclear medicine and molecular imaging 46, 2656-2672	2019
Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network T Urakawa, Y Tanaka, S Goto, H Matsuzawa, K Watanabe, N Endo Skeletal radiology 48, 239-244	2019
Deep learning predicts hip fracture using confounding patient and healthcare variables MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ... NPJ digital medicine 2 (1), 31	2019
Convolutional neural networks for automated fracture detection and localization on wrist radiographs YL Thian, Y Li, P Jagmohan, D Sia, VEY Chan, RT Tan Radiology: Artificial Intelligence 1 (1), e180001	2019
Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments K Gan, D Xu, Y Lin, Y Shen, T Zhang, K Hu, K Zhou, M Bi, L Pan, W Wu, ... Acta orthopaedica 90 (4), 394-400	2019
Artificial intelligence in musculoskeletal imaging: current status and future directions S Gyftopoulos, D Lin, F Knoll, AM Doshi, TC Rodrigues, MP Recht AJR. American journal of roentgenology 213 (3), 506	2019
What are the applications and limitations of artificial intelligence for fracture detection and classification in orthopaedic trauma imaging? A systematic review DWG Langerhuizen, SJ Janssen, WH Mallee, MPJ Van Den Bekerom, ... Clinical orthopaedics and related research 477 (11), 2482	2019
Deep learning in fracture detection: a narrative review PHS Kalmet, S Sanduleanu, S Primakov, G Wu, A Jochems, T Refaee, ... Acta orthopaedica 91 (2), 215-220	2020
Current applications and future directions of deep learning in musculoskeletal radiology P Chea, JC Mandell Skeletal radiology 49 (2), 183-197	2020
Deep learning preoperatively predicts value metrics for primary total knee arthroplasty: development and validation of an artificial neural network model PN Ramkumar, JM Karnuta, SM Navarro, HS Haeberle, GR Scuderi, ... The Journal of Arthroplasty 34 (10), 2220-2227. e1	2019
Binomial classification of pediatric elbow fractures using a deep learning multiview approach emulating radiologist decision making JC Rayan, N Reddy, JH Kan, W Zhang, A Annapragada Radiology: Artificial Intelligence 1 (1), e180015	2019
Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network A Borjali, AF Chen, OK Muratoglu, MA Morid, KM Varadarajan Journal of Orthopaedic Research® 38 (7), 1465-1471	2020
Deep learning for lesion detection, progression, and prediction of musculoskeletal disease R Kijowski, F Liu, F Caliva, V Pedoia Journal of magnetic resonance imaging 52 (6), 1607-1619	2020
Preoperative prediction of value metrics and a patient-specific payment model for primary total hip arthroplasty: development and validation of a deep learning model PN Ramkumar, JM Karnuta, SM Navarro, HS Haeberle, R Iorio, MA Mont, ... The Journal of Arthroplasty 34 (10), 2228-2234. e1	2019
Machine learning solutions for osteoporosis—a review J Smets, E Shevroja, T Hügle, WD Leslie, D Hans Journal of bone and mineral research 36 (5), 833-851	2021
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs RM Jones, A Sharma, R Hotchkiss, JW Sperling, J Hamburger, C Ledig, ... NPJ digital medicine 3 (1), 144	2020
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach L Tanzi, E Vezzetti, R Moreno, A Aprato, A Audisio, A Massè European journal of radiology 133, 109373	2020
Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept JS Yu, SM Yu, BS Erdal, M Demirer, V Gupta, M Bigelow, A Salvador, ... Clinical radiology 75 (3), 237. e1-237. e9	2020

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