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The Use of Metaverse in Radiology: A Systematic Review
Parastoo Amiri1,2, Taleb Khodaveisi3, Nasim Aslani1,2
1Department of Health Information Technology, School of Allied Medical Sciences Lorestan University of Medical Sciences Khorramabad Iran.
The metaverse is transforming radiology by enhancing medical image interpretation with 3D virtual reality. This technology offers new diagnostic tools and simulation approaches, improving patient care.
Area of Science:
- Radiology and Medical Imaging
- Virtual Reality and Metaverse Technologies
- Health Informatics
Background:
- The metaverse, featuring 3D and virtual reality environments, is revolutionizing medical imaging interpretation.
- It impacts the diagnosis and treatment of diseases through enhanced visualization of X-rays, MRIs, CT scans, ultrasounds, and mammograms.
Purpose of the Study:
- To systematically review the applications of metaverse technologies in radiology.
- To examine how these virtual environments improve the interpretation of various medical imaging modalities.
Main Methods:
- A systematic review of PubMed, Scopus, and Web of Science databases was conducted.
- English-language studies published until June 2024 focusing on metaverse applications in radiology were included.
- Data extraction was performed by three independent reviewers using a structured form.
Main Results:
- 21 studies were included out of 212 initially found; 52% were developmental research, with China leading publications.
- Significant advancements include novel diagnostic tools, integrated imaging technologies, and innovative modeling/simulation.
- MRI and CT were the most frequently studied modalities, highlighting their potential for metaverse enhancement.
Conclusions:
- The metaverse offers substantial advancements in radiology, including new diagnostic tools and simulation methods.
- Future research should focus on practical applications, patient outcomes, and clinical workflow integration.
- Optimizing metaverse integration is key to improving patient care in diagnostic imaging.
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