Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch DM Burns, N Leung, M Hardisty, CM Whyne, P Henry, S McLachlin Physiological measurement 39 (7), 075007, 2018 | 89 | 2018 |
Glenoid component positioning and guidance techniques in anatomic and reverse total shoulder arthroplasty: A systematic review and meta-analysis DM Burns, T Frank, CM Whyne, PDG Henry Shoulder & Elbow 11 (2_suppl), 16-28, 2019 | 43 | 2019 |
Seglearn: A python package for learning sequences and time series DM Burns, CM Whyne The Journal of Machine Learning Research 19 (1), 3238-3244, 2018 | 36 | 2018 |
Personalized activity recognition with deep triplet embeddings D Burns, P Boyer, C Arrowsmith, C Whyne Sensors 22 (14), 5222, 2022 | 29 | 2022 |
Diagnosis of engaging bipolar bone defects in the shoulder using 2-dimensional computed tomography: a cadaveric study DM Burns, J Chahal, S Shahrokhi, P Henry, D Wasserstein, C Whyne, ... The American Journal of Sports Medicine 44 (11), 2771-2777, 2016 | 27 | 2016 |
Out-of-distribution detection of human activity recognition with smartwatch inertial sensors P Boyer, D Burns, C Whyne Sensors 21 (5), 1669, 2021 | 24 | 2021 |
Saturated salt solution cadaver-embalming method improves orthopaedic surgical skills training DM Burns, I Bell, R Katchky, T Dwyer, J Toor, CM Whyne, O Safir JBJS 100 (15), e104, 2018 | 21 | 2018 |
Adherence patterns and dose response of physiotherapy for rotator cuff pathology: longitudinal cohort study D Burns, P Boyer, H Razmjou, R Richards, C Whyne JMIR Rehabilitation and Assistive Technologies 8 (1), e21374, 2021 | 19 | 2021 |
Low‐dose lithium regimen enhances endochondral fracture healing in osteoporotic rodent bone K Vachhani, C Whyne, Y Wang, DM Burns, D Nam Journal of Orthopaedic Research® 36 (6), 1783-1789, 2018 | 17 | 2018 |
Adherence tracking with smart watches for shoulder physiotherapy in rotator cuff pathology: protocol for a longitudinal cohort study D Burns, H Razmjou, J Shaw, R Richards, S McLachlin, M Hardisty, ... JMIR Research Protocols 9 (7), e17841, 2020 | 16 | 2020 |
Regional anesthesia and acute compartment syndrome: principles for practice T Dwyer, D Burns, A Nauth, K Kawam, R Brull Regional Anesthesia & Pain Medicine 46 (12), 1091-1099, 2021 | 14 | 2021 |
Physiotherapy exercise classification with single-camera pose detection and machine learning C Arrowsmith, D Burns, T Mak, M Hardisty, C Whyne Sensors 23 (1), 363, 2023 | 6 | 2023 |
Use of an Artificial Intelligence Conversational Agent (Chatbot) for Hip Arthroscopy Patients Following Surgery T Dwyer, G Hoit, D Burns, J Higgins, J Chang, D Whelan, I Kiroplis, ... Arthroscopy, Sports Medicine, and Rehabilitation 5 (2), e495-e505, 2023 | 4 | 2023 |
Evaluation of at-home physiotherapy: machine-learning prediction with smart watch inertial sensors P Boyer, D Burns, C Whyne Bone & Joint Research 12 (3), 165, 2023 | 3 | 2023 |
Varying femoral-sided fixation techniques in anterior cruciate ligament reconstruction have similar clinical outcomes: a network meta-analysis A Shah, DJ Hoppe, DM Burns, J Menna, D Whelan, J Abouali Journal of ISAKOS 3 (4), 220-228, 2018 | 3 | 2018 |
Regulatory regimes and procedural values for health-related motion data in the United States and Canada P Boyer, J Donia, C Whyne, D Burns, J Shaw Health Policy and Technology 11 (3), 100648, 2022 | 2 | 2022 |
Surgical Technique: Abductor Reconstruction With Gluteus Maximus and Tensor Fascia Lata in Revision Total Hip Arthroplasty DM Burns, TD Bornes, A Al Khalifa, P Kuzyk, A Gross, O Safir The Journal of Arthroplasty 37 (7), S628-S635, 2022 | 2 | 2022 |
Glenoid implant positioning: A new approach using structured light DM Burns, SCP Newhook, RR Richards, CM Whyne Seminars in Arthroplasty: JSES 30 (2), 132-138, 2020 | 2 | 2020 |
Artificial intelligence isn’t DM Burns CMAJ 192 (11), E290-E290, 2020 | 2 | 2020 |
Data interoperability is far more valuable and feasible than a single electronic health record DM Burns CMAJ 191 (21), E587-E587, 2019 | 2 | 2019 |