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Jasmine N. Levesque, Ajay Shah, Seper Ekhtiari, James R. Yan, Patrick Thornley, and Dale S. Williams

of medical equipment, 6 and the creation of anatomic models. 7 , 8 Orthopaedic surgery, with its focus on implants, instruments, and surgical devices, is well suited to applications of 3D printing. Multiple studies have shown that the use of

E. Carlos Rodríguez-Merchán

system and, of these, 80% occur within the joints (mainly elbows, knees and ankles). Planning and undertaking elective orthopaedic surgery in haemophilic patients is most effective with the involvement of an experienced multidisciplinary team (MDT) at a

SaTia T. Sinclair, Ahmed K. Emara, Melissa N. Orr, Kara M. McConaghy, Alison K. Klika, and Nicolas S. Piuzzi

validation is also needed for both specific patient populations and specific outcomes (e.g. readmission, reoperation). However, no standardized system of comorbidity reporting currently exists in orthopaedic surgery, specifically for patients undergoing hip

Haroon Majeed

.1 billion until the end of March 2020. 5 , 6 According to the annual NHS Resolution 2019/2020 report, trauma and orthopaedic surgery accounted for 12% of all the clinical negligence claims by numbers (highest among surgical specialities), and 5% by

Timothy Bage and Dominic M. Power

joint widely practised in orthopaedic surgery may not be possible due to soft tissue disruption. In the polytrauma patient requiring damage limitation stabilization surgery, utilizing second-line approaches so that concomitant limb injuries can be

Achi Kamaraj, Nikhil Agarwal, K. T. Matthew Seah, and Wasim Khan

mean a lifetime if the management option leads to differences in health utility that persist for the remainder of a patient’s life. This may require extrapolation of available data, which is certainly relevant to many orthopaedic surgery procedures

Jacobien H.F. Oosterhoff, Job N. Doornberg, and Machine Learning Consortium

on its way down – Adapted from Gartner Hype Cycle for Artificial Intelligence, 2019 gartner.com/smarterwithgartner. In this narrative review we focus on AI in orthopaedic surgery. We use respective examples of factual ML applications in

Benedikt J. Braun, Bernd Grimm, Andrew M. Hanflik, Meir T. Marmor, Peter H. Richter, Andrew K. Sands, and Sureshan Sivananthan

M Mosheiff R Joskowicz L . Computer-aided orthopaedic surgery in skeletal trauma . In Bucholz RW Heckman JD Court-Brown CM , eds. Rockwood & Green’s fractures in adults . Sixth ed . Philadelphia

Stephanie Marrannes, Klaas Victor, Nele Arnout, Tine De Backer, Jan Victor, and Thomas Tampere

Introduction Venous thromboembolism (VTE), including deep venous thrombosis (DVT) and pulmonary embolism (PE), is a well-known complication following orthopaedic surgery. In the absence of thromboprophylaxis, incidences up to 40% have been

Pierre-Louis Docquier, Laurent Paul, and Khanh TranDuy

-assisted intervention, image-guided surgery and surgical navigation. CAS applied to orthopaedic surgery is termed ‘computer-assisted orthopaedic surgery’ (CAOS). The first rudimental CAS systems were developed in the early 1970s. These systems gave feedback on