Background From traditional open surgery to laparoscopic surgery and robot‐assisted
surgery, advances in robotics, machine learning, and imaging are pushing the surgical …

Orthopedic surgery remains technically demanding due to the complex anatomical
structures and cumbersome surgical procedures. The introduction of image-guided …

Percutaneous screw fixation in pelvic trauma surgery is a challenging procedure that often
requires long fluoroscopic exposure times and trial-and-error insertion attempts along …

Complicated image registration is a key issue in medical image analysis, and deep learning-
based methods have achieved better results than traditional methods. The methods include …

Surgical reduction of pelvic dislocation is a challenging procedure with poor long-term
prognosis if reduction does not accurately restore natural morphology. The procedure often …

Computer-assisted preoperative planning of pelvic fracture reduction surgery has the
potential to increase the accuracy of the surgery and to reduce complications. However, the …

Suboptimal interaction with patient data and challenges in mastering 3D anatomy based on
ill-posed 2D interventional images are essential concerns in image-guided therapies …

Pedicle screw insertion is considered a complex surgery among Orthopaedics surgeons.
Exclusively to prevent postoperative complications associated with pedicle screw insertion …

Purpose: Data-intensive modeling could provide insight on the broad variability in outcomes
in spine surgery. Previous studies were limited to analysis of demographic and clinical …

Surgical planning of percutaneous interventions has a crucial role to guarantee the success
of minimally invasive surgeries. In the last decades, many methods have been proposed to …