Evidence map›Paper›PMID 36935774›Full record

ArticleNature machine intelligence2022

Development of metaverse for intelligent healthcare.

Ge Wang, Andreu Badal, Xun Jia, Jonathan S Maltz, Klaus Mueller, Kyle J Myers, Chuang Niu, Michael Vannier, Pingkun Yan, Zhou Yu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Nature machine intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
24.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 2 syntheses or guidelines pooled it, 392 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Beyond the Drill: Can Digital Gadgets Redefine the Future of Dental Education?European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Recent Advances in AI and GenAI for Health Informatics.Healthcare (Basel, Switzerland) · 2026
    Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Enhancing randomized clinical trials with digital twins.NPJ systems biology and applications · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Ge WangDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.ORCID 0000-0002-2656-7705
Andreu BadalDivision of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, US Food and Drug Administration, Silver Spring, MD, USA.
Xun JiaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA.
Jonathan S MaltzMolecular Imaging and Computed Tomography, GE Healthcare, Waukesha, WI, USA.ORCID 0000-0002-8281-255X
Klaus MuellerComputer Science Department, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0002-0996-8590
Kyle J MyersPuente Solutions LLC, Phoenix, AZ, USA.ORCID 0000-0001-7394-4932
Chuang NiuDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.ORCID 0000-0002-3310-7803
Michael VannierUniversity of Chicago Medical Center, Chicago, IL, USA.
Pingkun YanDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.ORCID 0000-0002-9779-2141
Zhou YuCanon Medical Research USA, Vernon Hills, IL, USA.
Rongping ZengDivision of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, US Food and Drug Administration, Silver Spring, MD, USA.
Rensselaer Polytechnic Institute · USUnited States Food and Drug Administration · USCanon (United States) · USJohns Hopkins University · USStony Brook University · USUniversity of Chicago Medical Center · US

Funding

Next generation small animal radiation research platformR37CA214639 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2018 to 2024
$3.8M
Cardiac CT DebloomingR01HL151561 · NHLBI · GENERAL ELECTRIC GLOBAL RESEARCH CTR · PI BUDOFF, MATTHEW J, DE MAN, BRUNO · 2020 to 2023
$3.8M
Development and Validation of Prognostic Radiomic Markers of Response and Recurrence for Patients with Colorectal Liver MetastasesR01CA233888 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHUN, YUN SHIN, DO, RICHARD KINH GIAN · 2019 to 2023
$3.7M
In vivo Macroscopic Fluorescence Lifetime Molecular Optical ImagingR01CA250636 · NCI · RENSSELAER POLYTECHNIC INSTITUTE · PI BARROSO, MARGARIDA, INTES, XAVIER · 2020 to 2023
$2.9M
Photon-counting X-ray and Optical Tomography for Preclinical Cancer ResearchR01CA237267 · NCI · RENSSELAER POLYTECHNIC INSTITUTE · PI BARROSO, MARGARIDA, INTES, XAVIER · 2019 to 2023
$2.9M
Life time imaging with pulsed x-ray based x-ray luminescence computed tomographyR01EB026646 · NIBIB · UNIVERSITY OF CALIFORNIA, MERCED · PI LI, CHANGQING · 2018 to 2021
$2.6M
Intelligent treatment planning for cancer radiotherapyR01CA237269 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN, JIANG, STEVE BIN · 2019 to 2023
$2.5M
Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical ImagingR01EB032716 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI JIA, XUN, MUELLER, KLAUS · 2022 to 2025
$2.5M
Precise image guidance for liver cancer stereotactic body radiotherapy using element-resolved motion-compensated cone beam CTR01CA227289 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2018 to 2022
$2.0M
NCI NIH HHS R01 CA227289NCI NIH HHS R01 CA233888NCI NIH HHS R01 CA237267NCI NIH HHS R01 CA237269NCI NIH HHS R01 CA250636NCI NIH HHS R37 CA214639NHLBI NIH HHS R01 HL151561NIBIB NIH HHS R01 EB026646NIBIB NIH HHS R01 EB032716
6 · The paper itself

Abstract

The metaverse integrates physical and virtual realities, enabling humans and their avatars to interact in an environment supported by technologies such as high-speed internet, virtual reality, augmented reality, mixed and extended reality, blockchain, digital twins and artificial intelligence (AI), all enriched by effectively unlimited data. The metaverse recently emerged as social media and entertainment platforms, but extension to healthcare could have a profound impact on clinical practice and human health. As a group of academic, industrial, clinical and regulatory researchers, we identify unique opportunities for metaverse approaches in the healthcare domain. A metaverse of 'medical technology and AI' (MeTAI) can facilitate the development, prototyping, evaluation, regulation, translation and refinement of AI-based medical practice, especially medical imaging-guided diagnosis and therapy. Here, we present metaverse use cases, including virtual comparative scanning, raw data sharing, augmented regulatory science and metaversed medical intervention. We discuss relevant issues on the ecosystem of the MeTAI metaverse including privacy, security and disparity. We also identify specific action items for coordinated efforts to build the MeTAI metaverse for improved healthcare quality, accessibility, cost-effectiveness and patient satisfaction.

Identifiers

PMID36935774
PMCPMC10015955
OpenAlexW4309472441

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.