Evidence map›Paper›PMID 35194580›Full record

ReviewSN computer science2022

AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems.

Iqbal H Sarker

Abstract readReview
In one paragraph

Review in SN computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed, 7 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

158 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  6. Pooled it
  7. Pooled it
  8. Expert nurses vs. ChatGPT for postoperative lumbar disk nursing care.Proceedings (Baylor University. Medical Center) · 2026
    Article
  9. Article
  10. Artificial intelligence in pediatric myopia - a narrative review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

98 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

1 author.

Iqbal H SarkerSwinburne University of Technology, Melbourne, VIC 3122 Australia.ORCID 0000-0003-1740-5517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and intelligence into machines or systems. Thus, AI-based modeling is the key to build automated, intelligent, and smart systems according to today's needs. To solve real-world issues, various types of AI such as analytical, functional, interactive, textual, and visual AI can be applied to enhance the intelligence and capabilities of an application. However, developing an effective AI model is a

Indexed as

Advanced analyticsArtificial intelligenceAutomationData scienceIndustry 4.0 applicationsIntelligent computingMachine learningSmart systems

Identifiers

PMID35194580
PMCPMC8830986

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.