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The HoloLens in medicine: A systematic review and taxonomy.

作者信息

Gsaxner Christina, Li Jianning, Pepe Antonio, Jin Yuan, Kleesiek Jens, Schmalstieg Dieter, Egger Jan

机构信息

Institute of Computer Graphics and Vision, Graz University of Technology, 8010 Graz, Austria; BioTechMed, 8010 Graz, Austria.

Institute of AI in Medicine, University Medicine Essen, 45131 Essen, Germany; Cancer Research Center Cologne Essen, University Medicine Essen, 45147 Essen, Germany.

出版信息

Med Image Anal. 2023 Apr;85:102757. doi: 10.1016/j.media.2023.102757. Epub 2023 Jan 21.


DOI:10.1016/j.media.2023.102757
PMID:36706637
Abstract

The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-through augmented reality (AR) display, is the main player in the recent boost in medical AR research. In this systematic review, we provide a comprehensive overview of the usage of the first-generation HoloLens within the medical domain, from its release in March 2016, until the year of 2021. We identified 217 relevant publications through a systematic search of the PubMed, Scopus, IEEE Xplore and SpringerLink databases. We propose a new taxonomy including use case, technical methodology for registration and tracking, data sources, visualization as well as validation and evaluation, and analyze the retrieved publications accordingly. We find that the bulk of research focuses on supporting physicians during interventions, where the HoloLens is promising for procedures usually performed without image guidance. However, the consensus is that accuracy and reliability are still too low to replace conventional guidance systems. Medical students are the second most common target group, where AR-enhanced medical simulators emerge as a promising technology. While concerns about human-computer interactions, usability and perception are frequently mentioned, hardly any concepts to overcome these issues have been proposed. Instead, registration and tracking lie at the core of most reviewed publications, nevertheless only few of them propose innovative concepts in this direction. Finally, we find that the validation of HoloLens applications suffers from a lack of standardized and rigorous evaluation protocols. We hope that this review can advance medical AR research by identifying gaps in the current literature, to pave the way for novel, innovative directions and translation into the medical routine.

摘要

相似文献

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[2]
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[3]
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[5]
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[6]
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[7]
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[1]
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Int J Comput Assist Radiol Surg. 2025-8-5

[2]
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Front Neurol. 2025-5-14

[3]
Digital twins for the era of personalized surgery.

NPJ Digit Med. 2025-5-15

[4]
Automated multimodel segmentation and tracking for AR-guided open liver surgery using scene-aware self-prompting.

Int J Comput Assist Radiol Surg. 2025-5-14

[5]
Transforming neonatal care: a position paper on the potential of augmented and mixed reality.

Front Digit Health. 2025-4-11

[6]
Depth-based registration of 3D preoperative models to intraoperative patient anatomy using the HoloLens 2.

Int J Comput Assist Radiol Surg. 2025-5

[7]
Using Hologram-Based Augmented Reality in Anatomy Learning: The TEACHANATOMY Randomized Trial.

Acad Med. 2025-6-1

[8]
Advancing Pediatric Surgery: The Use of HoloLens 2 for 3D Anatomical Reconstructions in Preoperative Planning.

Children (Basel). 2024-12-28

[9]
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Imaging Sci Dent. 2024-12

[10]
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