Intraoperative augmented reality with heads-up displays in maxillofacial surgery: a systematic review of the literature and a classification of relevant technologies.

Int J Oral Maxillofac Surg

Department of Plastic, Reconstructive, Aesthetic and of Maxillofacial Surgery, Henri Mondor University Hospital, Paris-Est Créteil University, Créteil, France.

Published: January 2019

Although the term augmented reality appears increasingly in published studies, the real-time, image-guided (so-called 'hands-free' and 'heads-up') surgery techniques are often confused with other virtual imaging procedures. A systematic review of the literature was conducted to classify augmented reality applications in the fields of maxillofacial surgery. Publications containing the terms 'augmented reality', 'hybrid reality', and 'surgery' were sought through a search of three medical databases, covering the years 1995-2018. Thirteen publications containing enough usable data to perform a comparative analysis of methods used and results obtained were identified. Five out of 13 described a method based on a hands-free and heads-up augmented reality approach using smart glasses or a headset combined with tracking. Most of the publications reported a minimum error of less than 1mm between the virtual model and the patient. Augmented reality during surgery may be classified into four categories: heads-up guided surgery (type I) with tracking (Ia) or without tracking (Ib); guided surgery using a semi-transparent screen (type II); guided surgery based on the digital projection of images onto the patient (type III); and guided surgery based on the transfer of digital data to a monitor display (type IV).

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijom.2018.09.010DOI Listing

Publication Analysis

Top Keywords

augmented reality
20
guided surgery
16
surgery
8
maxillofacial surgery
8
systematic review
8
review literature
8
surgery based
8
reality
5
intraoperative augmented
4
reality heads-up
4

Similar Publications

Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis.

Interact J Med Res

January 2025

Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.

Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.

View Article and Find Full Text PDF

. To develop an augmentation method that simulates cone-beam computed tomography (CBCT) related motion artifacts, which can be used to generate training-data to increase the performance of artificial intelligence models dedicated to auto-contouring tasks.The augmentation technique generates data that simulates artifacts typically present in CBCT imaging.

View Article and Find Full Text PDF

Using augmented reality to deliver cue exposure treatment for smoking cessation: App usability findings and protocol for a randomized controlled trial.

Contemp Clin Trials

January 2025

Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA; Department of Psychology, University of South Florida, Tampa, FL, USA; Department of Oncological Sciences, University of South Florida, Tampa, FL, USA. Electronic address:

Background: Augmented Reality (AR) is a rapidly developing technology with potential utility for treating addictive behaviors, including tobacco smoking. AR inserts digital images into a natural real-time scene as viewed on a smartphone or other video devices. With respect to smoking cessation, AR can place virtual smoking cues (i.

View Article and Find Full Text PDF

Holography is capable of rendering three-dimensional scenes with full-depth control and delivering transformative experiences across numerous domains, including virtual and augmented reality, education, and communication. However, traditional holography presents 3D scenes with unnatural defocus and severe speckles due to the limited space bandwidth product of the spatial light modulator (SLM). Here, we introduce Motion Hologram, a holographic technique that accurately portrays photorealistic and speckle-free 3D scenes.

View Article and Find Full Text PDF
Article Synopsis
  • Wearable augmented reality (AR) in neurosurgery enhances the visualization of navigation info directly on patients, making it easier for surgeons to understand spatial relationships.
  • The study evaluates a new AR platform called VOSTARS, which shows better targeting accuracy compared to the standard Medtronic StealthStation S7 navigation system in both phantom and human studies.
  • VOSTARS achieved a median accuracy of 1.4 mm in phantom studies and outperformed in human studies for key facial landmarks, indicating its potential to improve surgical outcomes.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!