Evidence map›Paper›PMID 31425274›Full record

ArticleChinese medical journal2019

Artificial intelligence in dermatology: past, present, and future.

Cheng-Xu Li, Chang-Bing Shen, Ke Xue, Xue Shen, Yan Jing, Zi-Yi Wang, Feng Xu, Ru-Song Meng, Jian-Bin Yu, Yong Cui

Abstract read
In one paragraph

Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Skin lesion classification system using a K-nearest neighbor algorithm.Visual computing for industry, biomedicine, and art · 2022
    Article
  17. Review
  18. Article
  19. Artificial intelligence in medicine and dermatology.Postepy dermatologii i alergologii · 2021
    Review
  20. Artificial Intelligence: Review of Current and Future Applications in Medicine.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2021
    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

10 authors.

Cheng-Xu LiDepartment of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China.
Chang-Bing ShenDepartment of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China.
Ke XueDepartment of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China.
Xue ShenDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, Anhui 230032, China.
Yan JingDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, Anhui 230032, China.
Zi-Yi WangDepartment of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China.
Feng XuShanghai Wheat Color Intelligent Technology Company, LTD, Shanghai 200051, China.
Ru-Song MengDepartment of Dermatology, Air Force General Hospital of People's Liberation Army, Beijing 100142, China.
Jian-Bin YuDepartment of Dermatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China.
Yong CuiDepartment of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceDermatologyHumans

Identifiers

PMID31425274
PMCPMC6793782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.