Veuillez télécharger l’article en PDF pour le lire. Télécharger
Parties annexes
Bibliography
- Laferrière-Langlois P, Imrie F, Geraldo MA, et al. Novel preoperative risk stratification using digital phenotyping applying a scalable machine-learning approach. Anesth Analg. 2024;139(1):174-185. https://doi.org/10.1213/ANE.0000000000006753
- London Health Sciences Centre. Canadian Surgical Technologies and Advanced Robotics (CSTAR). 2024. https://www.lhsc.on.ca/research/cstar
- Hess H, Ruckli AC, Bürki F, et al. Deep-learning-based segmentation of the shoulder from MRI with inference accuracy prediction. Diagnostics. 2023;13(10):1668. https://doi.org/10.3390/diagnostics13101668
- Roher SIG, Yu Z, Martin DH, et al. How is Etuaptmumk/Two-Eyed Seeing characterized in Indigenous health research? A scoping review. PLoS One. 2021;16(7):e0254612. https://doi.org/10.1371/journal.pone.0254612
- Donaghy C, Smith N, O’Dea F. Orthopaedic outreach: an innovative programme for orthopaedic patients in remote areas of Newfoundland and Labrador. Can J Rural Med. 2022;27(4):143-147. https://doi.org/10.4103/cjrm.cjrm_43_21
- Tarride JE, Hall JN, Mondoux S, et al. Cost evaluation of the Ontario virtual urgent care pilot program: population-based, matched cohort study. J Med Internet Res. 2024;26:e50483. https://doi.org/10.2196/50483
- Ng FYC, Thirunavukarasu AJ, Cheng H, et al. Artificial intelligence education: an evidence-based medicine approach for consumers, translators, and developers. Cell Rep Med. 2023;4(10):101230. https://doi.org/10.1016/j.xcrm.2023.101230