Paper · S7677
Virtual and augmented reality for biomedical applications
This Nolan-coauthored review surveys biomedical virtual and augmented reality and presents illustrative case studies. It retains practical limitations: some training performs worse than hands-on instruction, a surgical comparison found no significant improvement in several broader outcomes, and image quality, tracking, cost, privacy and discomfort constrain use. Demonstrations and reported funding are distinct from proven clinical benefit or classified UAP access.
Read the paper at ebi.ac.ukWhat we checked
Read all 71,040 normalized supplied XML characters in eight contiguous parts: the complete abstract and body, 31 table body rows, three numbered figure captions, author metadata, funding, contribution and interest statements, and 70 references. The graphical abstract, original figure images, PDF, supplemental figures S1–S6, videos, underlying dataset and code, and cited studies remain unreviewed.
Complete supplied XML text; original figures and supplements unreviewed
How we check sources
Not checked yet
- The complete supplied XML text, table rows, captions and 70 reference entries were read. The graphical abstract, original figure images, PDF, supplemental figures S1–S6, videos, underlying dataset and code, and cited studies remain unreviewed. Reading descriptions does not establish viewing or running the systems.
- Publication metadata lists July 21, 2021, while a collection note says July 20, 2021. July 2021 is retained without silently choosing between dates. Product lists, prices, availability and specifications are historical snapshots, not current buying or clinical recommendations.
- Training benefits depend on the comparison: VR performed worse on practical skills than real-life training. The matched surgical comparison counted screws within 40 patients and found no significant difference in several broader outcomes. Demonstrations, subjective ratings and an anecdotal planning account do not establish general clinical superiority.
- Garry P Nolan and his Stanford Pathology affiliation are explicit. His contribution concerns multiplexed protein data acquisition. Academic, philanthropic and Swiss research support is attributed to named coauthors; no Nolan-specific government approach or classified programme is reported.
- Reference 56 links an already registered source; the citation is not a fresh read or independent replication. Code is available only upon request, and data and videos are linked separately. No patient charts, controlled data, code execution, supplement reading or clinical intervention occurred.
Cite this record
Mythreye Venkatesan, Harini Mohan, Justin R Ryan, Christian M Schürch, Garry P Nolan, David H Frakes, Ahmet F Coskun. Virtual and augmented reality for biomedical applications. July 2021. BioParity S7677. https://bioparity.io/sources/S7677Record data (JSON)