AIMC Topic: Spinal Fusion

Clear Filters Showing 121 to 130 of 164 articles

Machine learning approaches for predicting prolonged hospital length of stay after lumbar fusion surgery in patients aged 75 years and older: a retrospective cohort study based on comprehensive geriatric assessment.

Neurosurgical focus
OBJECTIVE: Postoperative recovery following lumbar fusion surgery in patients aged 75 years and older often requires a prolonged length of stay (PLOS) in the hospital. Accurately predicting the risk of PLOS and assessing its risk factors for preopera...

Does alignment alone predict mechanical complications after adult spinal deformity surgery? A machine learning comparison of alignment, bone quality, and soft tissue.

Neurosurgical focus
OBJECTIVE: Mechanical complications are a vexing occurrence after adult spinal deformity (ASD) surgery. While achieving ideal spinal alignment in ASD surgery is critical, alignment alone may not fully explain all mechanical complications. The authors...

Early outcomes with virtual surgical planning software and patient-specific instrumentation in adult spinal deformity.

Neurosurgical focus
OBJECTIVE: Software engineering innovations have led to the development of virtual surgical planning software (VSPS) for deformity correction. VSPS uses calibrated radiographs and machine learning predictive models to simulate postoperative spinopelv...

Artificial intelligence medical image-aided diagnosis system for risk assessment of adjacent segment degeneration after lumbar fusion surgery.

SLAS technology
The existing assessment of adjacent segment degeneration (ASD) risk after lumbar fusion surgery focuses on a single type of clinical information or imaging manifestations. In the early stages, it is difficult to show obvious degeneration characterist...

[Current status and prospects for the application of robot-assisted spine surgery].

Zhonghua wai ke za zhi [Chinese journal of surgery]
Traditional spine surgery frequently encounters difficulties with inadequate surgical visualization and high risk.Robot-assisted spine surgery is quickly evolving,particularly in screw placement,providing three-dimensional imaging and precise positio...

Accuracy and risk factors of Magerl screw placement in robot-assisted atlantoaxial surgery: A case series study.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: To assess the accuracy of robot-assisted Magerl screw placement and explore the factors affecting the accuracy.

Robot-assisted versus fluoroscopy-guided pedicle screw fixation of thoracolumbar compression fractures.

Medicine
The aim of this study is to compare the clinical outcomes and accuracy of robot-assisted (RA) versus fluoroscopy-guided (FG) pedicle screw fixation of thoracolumbar compression fractures. We retrospectively enrolled 85 patients with surgically treate...

[Research Progress in the Application of Ultrasound-Guided Robot in Minimally Invasive Surgery].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
With the continuous advances in modern medical technology and equipment,minimally invasive surgery (MIS) is widely applied in clinical practice.Ultrasound (US) as a real-time,portable,and radiation-free medical imaging method can be used for the intr...

Robotic versus nonrobotic sacroiliac joint fusion.

Neurosurgical focus
OBJECTIVE: Robot-assisted pedicle screw placement in spinal fusion has been well studied. However, few studies have evaluated robot-assisted sacroiliac joint (SIJ) fusion. The aim of this study was to compare surgical characteristics, accuracy, and c...