Published on in Vol 8, No 11 (2020): November
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/19416, first published
.
Journals
- Smets J, Shevroja E, Hügle T, Leslie W, Hans D. Machine Learning Solutions for Osteoporosis—A Review. Journal of Bone and Mineral Research 2020;36(5):833 View
- Sato Y, Takegami Y, Asamoto T, Ono Y, Hidetoshi T, Goto R, Kitamura A, Honda S. Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study. BMC Musculoskeletal Disorders 2021;22(1) View
- Ukai K, Rahman R, Yagi N, Hayashi K, Maruo A, Muratsu H, Kobashi S. Detecting pelvic fracture on 3D-CT using deep convolutional neural networks with multi-orientated slab images. Scientific Reports 2021;11(1) View
- Kuo R, Harrison C, Curran T, Jones B, Freethy A, Cussons D, Stewart M, Collins G, Furniss D. Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis. Radiology 2022;304(1):50 View
- Cohen J, McInnes M. Deep Learning Algorithms to Detect Fractures: Systematic Review Shows Promising Results but Many Limitations. Radiology 2022;304(1):63 View
- Cha Y, Kim J, Park C, Kim J, Lee S, Yoo J. Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review. Journal of Orthopaedic Surgery and Research 2022;17(1) View
- Zhang X, Yang Y, Shen Y, Zhang K, Jiang Z, Ma L, Ding C, Wang B, Meng Y, Liu H. Diagnostic accuracy and potential covariates of artificial intelligence for diagnosing orthopedic fractures: a systematic literature review and meta-analysis. European Radiology 2022;32(10):7196 View
- Cheng C, Hsu C, Ooyang C, Chou C, Lin N, Lin J, Ku Y, Lin H, Kao S, Chen H, Wu Y, Liao C. Evaluation of ensemble strategy on the development of multiple view ankle fracture detection algorithm. The British Journal of Radiology 2023;96(1145) View
- Miller A, Vattigunta S, Sharma S, Ahmed A, Jenkins S, Thakkar S, Srikumaran U. Does Additional Review of Initial Radiographs by Musculoskeletal Specialists Limit Additional Advanced Imaging in Suspected Hip Fractures?. The Journal of Hip Surgery 2023;07(01):030 View
- Ye P, Li S, Wang Z, Tian S, Luo Y, Wu Z, Zhuang Y, Zhang Y, Grzegorzek M, Hou Z. Development and validation of a deep learning-based model to distinguish acetabular fractures on pelvic anteroposterior radiographs. Frontiers in Physiology 2023;14 View
- Tang Y, Ranschaert E, Verstraete K. Performantie van AI bij fractuurdetectie en effect op de prestaties van artsen: een systematische review. Tijdschrift voor Geneeskunde 2023 View
- Jung J, Dai J, Liu B, Wu Q, Frasch M. Artificial intelligence in fracture detection with different image modalities and data types: A systematic review and meta-analysis. PLOS Digital Health 2024;3(1):e0000438 View
- Cheng C, Ooyang C, Kang S, Liao C. Applications of Deep Learning in Trauma Radiology: A Narrative Review. Biomedical Journal 2024:100743 View
- Bachmann R, Gunes G, Hangaard S, Nexmann A, Lisouski P, Boesen M, Lundemann M, Baginski S. Improving traumatic fracture detection on radiographs with artificial intelligence support: a multi-reader study. BJR|Open 2023;6(1) View
- Nowroozi A, Salehi M, Shobeiri P, Agahi S, Momtazmanesh S, Kaviani P, Kalra M. Artificial intelligence diagnostic accuracy in fracture detection from plain radiographs and comparing it with clinicians: a systematic review and meta-analysis. Clinical Radiology 2024;79(8):579 View
- Dasegowda G, Sato J, Elton D, Garza-Frias E, Schultz T, Bridge C, Bizzo B, Kalra M, Dreyer K. No code machine learning: validating the approach on use-case for classifying clavicle fractures. Clinical Imaging 2024;112:110207 View
- Akbarian E, Mohammadi M, Tiala E, Ljungberg O, Sharif Razavian A, Magnéli M, Gordon M. Development and validation of an artificial intelligence model for the classification of hip fractures using the AO-OTA framework. Acta Orthopaedica 2024;95:340 View
- Ruitenbeek H, Oei E, Visser J, Kijowski R. Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade. Skeletal Radiology 2024;53(9):1849 View
Books/Policy Documents
- Nguyen H, Nghiem T, Dang N. Advances in Information and Communication Technology. View