May 2020

Journal (1)

Augmented Reality and Artificial Intelligence Assisted Surgical Navigation, Technique and Cadaveric Feasibility Study

The aim of the study was to develop a technique and assess the accuracy and feasibility of lumbar vertebrae pedicle instrumentation using augmented reality assisted surgical navigation.

April 2020

Journal (1)

Autonomous Image Segmentation and Identification of Anatomical Landmarks from Lumbar Spine Intraoperative CT Scans using Machine Learning: A Validation Study

The purpose of this study was to assess the accuracy of an autonomous convolutional neural network in measuring vertebral body anatomy utilizing clinical lumbar CT scans and automatically segment vertebral body anatomy.

July 2019

IMAST (1)

Using a Novel Augmented Reality and Artificial Intelligence Surgical Guidance System for Pedicle Screw Placement: A Cadaveric Study

Use of a novel surgical navigation system using augmented reality and artificial intelligence technology resulted in accurate identification and precise 3D visualization of lumbar pedicles directly in the surgical field while performing percutaneous pedicle instrumentation in all attempted levels of 5 cadaveric spine specimens. Use of augmented-reality technology during minimally invasive spine surgery may lead to better patient outcomes, reduce surgical time, and decrease the learning curve for percutaneous screw placement.

April 2019

Lumbar

Accuracy of Pedicle Screw Placement using a Novel Augmented Reality and Artificial Intelligence Surgical Navigation System: A Cadaveric Study

Minimally invasive spine surgery (MISS) has potential advantages over open procedures however, all currently available navigation systems force surgeons to look away from the field to verify instrument position. This requires development of complex coordination skills with a steep learning curve. Augmented, reality-based display of virtual spinal anatomy over patient spinal anatomy may serve as a more user-friendly navigation system. This study assessed the accuracy of lumbar percutaneous pedicle instrumentation using a novel, reality assisted surgical navigation system in a cadaveric model.

May 2018

Springer (1)

Neurosurgical Anatomy and Approaches to Simulation in Neurosurgical Training

Quality of neurosurgical care and patient outcomes are inextricably linked to surgical and technical proficiency and a thorough working knowledge of microsurgical anatomy. Simulated neurosurgical training is essential for the development and refinement of technical skills prior to their use on a living patient. Recent biotechnological advances—including 3D microscopy and endoscopy, 3D printing, virtual reality, surgical simulation, surgical robotics, and advanced neuroimaging—have proved to reduce the learning curve, improve conceptual understanding of complex anatomy, and enhance visuospatial skills in neurosurgical training. For developing neurosurgeons, such tools can reduce the learning curve, improve conceptual understanding of complex anatomy, and enhance visuospatial skills. We explore the current and future roles and application of virtual reality and simulation in neurosurgical training.

May 2020

Journal_m

Augmented Reality and Artificial Intelligence Assisted Surgical Navigation, Technique and Cadaveric Feasibility Study

The aim of the study was to develop a technique and assess the accuracy and feasibility of lumbar vertebrae pedicle instrumentation using augmented reality assisted surgical navigation.

April 2020

Journal_m

Autonomous Image Segmentation and Identification of Anatomical Landmarks from Lumbar Spine Intraoperative CT Scans using Machine Learning: A Validation Study

The purpose of this study was to assess the accuracy of an autonomous convolutional neural network in measuring vertebral body anatomy utilizing clinical lumbar CT scans and automatically segment vertebral body anatomy.

July 2019

IMAST_m2

Using a Novel Augmented Reality and Artificial Intelligence Surgical Guidance System for Pedicle Screw Placement: A Cadaveric Study

Use of a novel surgical navigation system using augmented reality and artificial intelligence technology resulted in accurate identification and precise 3D visualization of lumbar pedicles directly in the surgical field while performing percutaneous pedicle instrumentation in all attempted levels of 5 cadaveric spine specimens. Use of augmented-reality technology during minimally invasive spine surgery may lead to better patient outcomes, reduce surgical time, and decrease the learning curve for percutaneous screw placement.

April 2019

Lumbar_m2

Accuracy of Pedicle Screw Placement using a Novel Augmented Reality and Artificial Intelligence Surgical Navigation System: A Cadaveric Study

Minimally invasive spine surgery (MISS) has potential advantages over open procedures however, all currently available navigation systems force surgeons to look away from the field to verify instrument position. This requires development of complex coordination skills with a steep learning curve. Augmented, reality-based display of virtual spinal anatomy over patient spinal anatomy may serve as a more user-friendly navigation system. This study assessed the accuracy of lumbar percutaneous pedicle instrumentation using a novel, reality assisted surgical navigation system in a cadaveric model.

May 2018

Springer_m2

Neurosurgical Anatomy and Approaches to Simulation in Neurosurgical Training

Quality of neurosurgical care and patient outcomes are inextricably linked to surgical and technical proficiency and a thorough working knowledge of microsurgical anatomy. Simulated neurosurgical training is essential for the development and refinement of technical skills prior to their use on a living patient. Recent biotechnological advances—including 3D microscopy and endoscopy, 3D printing, virtual reality, surgical simulation, surgical robotics, and advanced neuroimaging—have proved to reduce the learning curve, improve conceptual understanding of complex anatomy, and enhance visuospatial skills in neurosurgical training. For developing neurosurgeons, such tools can reduce the learning curve, improve conceptual understanding of complex anatomy, and enhance visuospatial skills. We explore the current and future roles and application of virtual reality and simulation in neurosurgical training.

This technology has not been cleared or approved by the FDA and is not for sale in the United States. Copyright 2019 Holo Surgical Inc. All Rights Reserved.