Evidence mapPaperPMID 41450775Full record

ReviewFrontiers in bioengineering and biotechnology2025

Artificial intelligence-assisted organoid construction in congenital heart disease: current applications and future prospects.

Fang Chen, Hao-Yi Zhang, Yan-Long Wan, Jia-Nan Jia, Rui-Zhen Wang, Cheng Gao, Zhen-Yu Chao, Yu-Hua Ru, Zhe Wang, Kai Cheng and 5 more

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
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

15 authors.

Fang Chen *Department of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Hao-Yi Zhang *Department of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Yan-Long Wan *Department of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Jia-Nan JiaDepartment of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Rui-Zhen WangAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.
Cheng GaoDepartment of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Zhen-Yu ChaoDepartment of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Yu-Hua RuNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zhe WangDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Kai ChengDepartment of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Jiong ZhangDepartment of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Juan FengDepartment of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Jin-Ling RenDepartment of Medical School, Henan University of Chinese Medicine, Zhengzhou, China.
Dong-Rui MaAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.
Zhen-Qiang ZhangAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart disease (CHD) is a complex group of cardiac abnormalities arising during fetal development. Despite advancements in diagnostics and surgery, CHD mechanisms remain elusive due to inadequate disease models. Recent innovations in artificial intelligence (AI)-assisted organoid construction, which replicate tissue architecture and function, provide a promising

Indexed as

artificial intelligence (AI)cardiac organoidscongenital heart disease (CHD)microfluidic technologythree-dimensional (3D) bioprinting

Identifiers

PMID41450775
PMCPMC12727648

What Socratic holds

Textmetadata
LicenceCC BY
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.