AIMC Topic: Surgery, Computer-Assisted

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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...

The automatic pelvic screw corridor planning for intact pelvises based on deep learning deformable registration.

Computers in biology and medicine
Percutaneous screw fixation technique in pelvic trauma surgery is an extremely challenging operation that typically requires a trial-and-error insertion process under the guidance of continuous intraoperative X-ray. This process can be simplified by ...

Design and Evaluation of an Omnidirectional Wheel-Driven Endoscope-Assisted Robotic System Based on Motion Capture Control.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In endoscopic surgery, surgeons collaborate with assistants to manipulate the endoscope and instruments, making it impossible to perform the surgery independently.

A Master-Follower Teleoperation System for Robotic Catheterisation: Design, Characterisation and Tracking Control.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Over the past 2 decades, telerobotic systems with robot-mediated, minimally invasive techniques, have mitigated radiation exposure for medical staff and extended medical services to remote areas. To enhance these services, master-follower...

Deep learning-based intraoperative visual guidance model for ureter identification in laparoscopic sigmoidectomy.

Surgical endoscopy
BACKGROUND: Identifying the left ureter is a key step while performing laparoscopic sigmoid resection to prevent intraoperative injury and postoperative complications.

Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data.

Computers in biology and medicine
BACKGROUND AND OBJECTIVE: Surgical Phase Recognition systems are used to support the automated documentation of a procedure and to provide the surgical team with real-time feedback, potentially improving surgical outcome and reducing adverse events. ...

Artificial intelligence-based pulmonary vessel segmentation: an opportunity for automated three-dimensional planning of lung segmentectomy.

Interdisciplinary cardiovascular and thoracic surgery
OBJECTIVES: This study aimed to develop an automated method for pulmonary artery and vein segmentation in both left and right lungs from computed tomography (CT) images using artificial intelligence (AI). The segmentations were evaluated using PulmoS...

[Real-Time Artificial Intelligence Assistance in Neuroendovascular Surgery].

No shinkei geka. Neurological surgery
In neuroendovascular surgery, operators must manipulate devices, such as microcatheters and guidewires, with millimeter precision while simultaneously monitoring multiple areas across up to four radiography monitors. Although both operators and assis...

Vision Module for Automatic Tracking on Bedside Intelligent Scope-Holding Surgical Robot System.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study aims to develop an active following technology of the mirror-holding arm of a bedside intelligent surgical robot that enables real-time automatic tracking of surgical instruments.