Evidence map›Paper›PMID 42699656›Full record

ReviewJournal of orthopaedic translation2026

Artificial intelligence virtual bone organoids (AIVBOs).

Ning Ding, Biao Yu, Xukun Lyu, Ke Xu, Zhen Geng, Jiacan Su, Long Bai

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of orthopaedic translation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ning DingInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Biao YuInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Xukun LyuWenzhou Institute of Shanghai University, Wenzhou, Zhejiang, 325000, China.
Ke XuInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Zhen GengInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Jiacan SuInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Long BaiInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global population aging has made skeletal disorders a major threat to human health. Solid bone organoids reproduce skeletal physiology and pathology more faithfully than traditional models, yet remain limited in standardisation, real-time monitoring, and high-throughput use. Integrating artificial intelligence (AI) with computational biology offers a route to ease these limits and motivates an emerging direction we develop here. We use virtual bone organoids (VBOs) for the The translational potential of this article: AIVBOs are framed as a meso-scale digital-twin concept meant to complement, not replace, solid bone organoids and

Indexed as

Artificial intelligenceBone organoidsComputational modellingDigital twinsPrecision medicineVirtual organoids

Identifiers

PMID42699656
PMCPMC13544108

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.