Evidence map›Paper›PMID 30875745›Full record

ArticleJournal of clinical medicine2019

Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study.

Bach Xuan Tran, Giang Thu Vu, Giang Hai Ha, Quan-Hoang Vuong, Manh-Tung Ho, Thu-Trang Vuong, Viet-Phuong La, Manh-Toan Ho, Kien-Cuong P Nghiem, Huong Lan Thi Nguyen and 6 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 5 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

150 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Article
  9. An AI-Based Solution for Denoising Fast-Acquisition [Journal of imaging informatics in medicine · 2026
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90 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

16 authors.

Bach Xuan TranInstitute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Vietnam. bach.ipmph@gmail.com.ORCID 0000-0001-7827-8449
Giang Thu VuCenter of Excellence in Artificial Intelligence in Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam. giang.coentt@gmail.com.
Giang Hai HaInstitute for Global Health Innovations, Duy Tan University, Da Nang 550000, Vietnam. giang.ighi@gmail.com.
Quan-Hoang VuongCenter for Interdisciplinary Social Research, Phenikaa University, Yen Nghia, Ha Dong District, Hanoi 100803, Vietnam. hoang.vuongquan@phenikaa-uni.edu.vn.ORCID 0000-0003-0790-1576
Manh-Tung HoCenter for Interdisciplinary Social Research, Phenikaa University, Yen Nghia, Ha Dong District, Hanoi 100803, Vietnam. tung.homanh@phenikaa-uni.edu.vn.ORCID 0000-0002-4432-9081
Thu-Trang VuongSciences Po Paris, Campus de Dijon, 21000 Dijon, France. thutrang.vuong@sciencespo.fr.
Viet-Phuong LaCenter for Interdisciplinary Social Research, Phenikaa University, Yen Nghia, Ha Dong District, Hanoi 100803, Vietnam. lvphuong@gmail.com.ORCID 0000-0002-4301-9292
Manh-Toan HoCenter for Interdisciplinary Social Research, Phenikaa University, Yen Nghia, Ha Dong District, Hanoi 100803, Vietnam. toan.homanh@phenikaa-uni.edu.vn.ORCID 0000-0002-8292-0120
Kien-Cuong P NghiemVietnam-Germany Hospital, 16 Phu Doan street, Hoan Kiem district, Hanoi 100000, Vietnam. kimcuongvd@gmail.com.
Huong Lan Thi NguyenInstitute for Global Health Innovations, Duy Tan University, Da Nang 550000, Vietnam. huong.ighi@gmail.com.
Carl A LatkinBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA. carl.latkin@jhu.edu.
Wilson W S TamCenter of Excellence in Evidence-based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam. nurtwsw@nus.edu.sg.ORCID 0000-0003-0641-3060
Ngai-Man CheungCenter of Excellence in Artificial Intelligence in Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam. ngaiman_cheung@sutd.edu.sg.ORCID 0000-0003-0135-3791
Hong-Kong T NguyenA.I. for Social Data Lab (AISDL), Vuong & Associates, 3/161 Thinh Quang, Dong Da District, Hanoi 100000, Vietnam. htn2107@caa.columbia.edu.
Cyrus S H HoDepartment of Psychological Medicine, National University Hospital, Singapore 119228, Singapore. cyrushosh@gmail.com.ORCID 0000-0002-7092-9566
Roger C M HoCenter of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam. pcmrhcm@nus.edu.sg.ORCID 0000-0001-9629-4493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing application of Artificial Intelligence (AI) in health and medicine has attracted a great deal of research interest in recent decades. This study aims to provide a global and historical picture of research concerning AI in health and medicine. A total of 27,451 papers that were published between 1977 and 2018 (84.6% were dated 2008⁻2018) were retrieved from the Web of Science platform. The descriptive analysis examined the publication volume, and authors and countries collaboration. A global network of authors' keywords and content analysis of related scientific literature highlighted major techniques, including Robotic, Machine learning, Artificial neural network, Artificial intelligence, Natural language process, and their most frequent applications in Clinical Prediction and Treatment. The number of cancer-related publications was the highest, followed by Heart Diseases and Stroke, Vision impairment, Alzheimer's, and Depression. Moreover, the shortage in the research of AI application to some high burden diseases suggests future directions in AI research. This study offers a first and comprehensive picture of the global efforts directed towards this increasingly important and prolific field of research and suggests the development of global and national protocols and regulations on the justification and adaptation of medical AI products.

Indexed as

AI ethicsartificial intelligencebibliometric analysisglobalhealthmappingmedicine

Identifiers

PMID30875745
PMCPMC6463262

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.