AI Article Synopsis
- * Eight international experts were connected to the examination site, showing good internet transmission quality, although challenges like internet stability were noted.
- * Physicians demonstrated strong agreement in their evaluation of the exams, and participants expressed a positive reception towards using AR technology for remote supervision in education and movement analysis.
Article Abstract
Background: Support for long-distance research and clinical collaborations is in high demand and has increased owing to COVID-19-related restrictions on travel and social contact. New digital approaches are required for remote scientific exchange.
Objective: This study aims to analyze the options of using an augmented reality device for remote supervision of exercise science examinations.
Methods: A mobile ultrasound examination of the diameter and intima-media thickness of the femoral and carotid arteries was remotely supervised using a head-mounted augmented reality device. All participants were provided with a link to a YouTube video of the technique in advance. In part 1, 8 international experts from the fields of engineering and sports science were remotely connected to the study setting. Internet connection speed was noted, and a structured interview was conducted. In part 2, 2 remote supervisors evaluated 8 physicians performing an examination on a healthy human subject. The results were recorded, and an evaluation was conducted using a 25-item questionnaire.
Results: In part 1, the remote experts were connected over a mean distance of 1587 km to the examination site. Overall transmission quality was good (mean upload speed: 28.7 Mbps, mean download speed: 97.3 Mbps, mean ping: 21.6 milliseconds). In the interview, participants indicated that the main potential benefits would be to the fields of education, movement analysis, and supervision. Challenges regarding internet connection stability and previous training with the devices used were reported. In part 2, physicians' examinations showed good interrater correlation (interclass correlation coefficient: 0.84). Participants valued the experienced setting as highly positive.
Conclusions: The study showed the good feasibility of the chosen design and a highly positive attitude of all participants toward this digital approach. Head-mounted augmented reality devices are generally recommended for collaborative research projects with physical examination-based research questions.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527377 | PMC |
| http://dx.doi.org/10.2196/28767 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Implant position accuracy using dynamic computer-assisted implant surgery (CAIS) combined with augmented reality: A randomized controlled clinical trial.
J Dent Sci
December 2024
Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Background/purpose: Computer-assisted implant surgery (CAIS) is increasingly performed to reduce deviations in implant position. Dynamic CAIS or navigation systems provide instant display of implant drilling instruments and patient positions directly on the computer monitor. Augmented reality (AR) technology allows operators to visualize real-time information projected onto the lenses of AR glasses.
View Article and Find Full Text PDFThe use of augmented reality (AR) and virtual reality (VR) in dental surgery education and practice: A narrative review.
J Dent Sci
December 2024
School of Dentistry, National Taiwan University, Taipei, Taiwan.
Integrating augmented reality (AR) and virtual reality (VR) into dental surgery education and practice has significantly advanced the precision and interactivity of dental training and patient care. This narrative review summarizes findings from extensive literature searches conducted in PubMed, Cochrane Library, and Embase, highlighting AR and VR technologies transformative impact and current applications. Research shows that AR improves surgical precision by offering real-time data overlays during procedures, leading to better outcomes in operations like dental implant placements.
View Article and Find Full Text PDFAchieving new excellence in an augmented reality dental education system.
J Dent Sci
December 2024
School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Background/purpose: SimEx-Plus (EPED. Inc) was already a mature augmented reality (AR) dental training simulator that allowed students to have a high quality dental education practice. Now the EPCAD software has been further developed into a comprehensive computer-aided design software.
View Article and Find Full Text PDFMicroscopic augmented reality calibration with contactless line-structured light registration for surgical navigation.
Med Biol Eng Comput
January 2025
Mechanical Engineering Department, Tianjin University, No. 135, Yaguan Road, Haihe Education Park, Jinnan District, Tianjin City, 300350, China.
The use of AR technology in image-guided neurosurgery enables visualization of lesions that are concealed deep within the brain. Accurate AR registration is required to precisely match virtual lesions with anatomical structures displayed under a microscope. The purpose of this work was to develop a real-time augmented surgical navigation system using contactless line-structured light registration, microscope calibration, and visible optical tracking.
View Article and Find Full Text PDFEvaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases.
Eur Radiol Exp
January 2025
Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
Background: This retrospective study aims to evaluate the impact of a content-based image retrieval (CBIR) application on diagnostic accuracy and confidence in interstitial lung disease (ILD) assessment using high-resolution computed tomography CT (HRCT).
Methods: Twenty-eight patients with verified pattern-based ILD diagnoses were split into two equal datasets (1 and 2). The images were assessed by two radiology residents (3rd and 5th year) and one expert radiologist in four sessions.
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!