Evidence map›Paper›PMID 34980946›Full record

ArticleAn international journal on information fusion2022

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond.

Guang Yang, Qinghao Ye, Jun Xia

Abstract read
In one paragraph

Article in An international journal on information fusion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 10 pooled it
–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

173 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  16. A comprehensive evaluation of seven osteoporosis screening tools.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
  17. Article
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  19. From Integrated Care to Learning Systems.Healthcare (Basel, Switzerland) · 2026
    Review
  20. Article

113 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

3 authors.

Guang YangNational Heart and Lung Institute, Imperial College London, London, UK.
Qinghao YeHangzhou Ocean's Smart Boya Co., Ltd, China.
Jun XiaRadiology Department, Shenzhen Second People's Hospital, Shenzhen, China.

Funding

British Heart Foundation TG/18/5/34111Medical Research Council MR/V023799/1
6 · The paper itself

Abstract

Explainable Artificial Intelligence (XAI) is an emerging research topic of machine learning aimed at

Indexed as

Explainable AIInformation fusionMedical image analysisMulti-domain information fusionWeakly supervised learning

Identifiers

PMID34980946
PMCPMC8459787

What OpenQuestion 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 OpenQuestion graph.