David Burns
Cited by
Cited by
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
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
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
Personalized activity recognition with deep triplet embeddings
D Burns, P Boyer, C Arrowsmith, C Whyne
Sensors 22 (14), 5222, 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
Out-of-distribution detection of human activity recognition with smartwatch inertial sensors
P Boyer, D Burns, C Whyne
Sensors 21 (5), 1669, 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
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
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
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
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
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
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
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
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
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
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
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
Artificial intelligence isn’t
DM Burns
CMAJ 192 (11), E290-E290, 2020
Data interoperability is far more valuable and feasible than a single electronic health record
DM Burns
CMAJ 191 (21), E587-E587, 2019
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