Evidence map›Paper›PMID 36388402›Full record

ReviewFrontiers in artificial intelligence2022

Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective.

Katerina Zdravkova, Venera Krasniqi, Fisnik Dalipi, Mexhid Ferati

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
30.7field-weighted citation impact, top 1% of its field
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

11 citing papers in PubMed, 69 citations in OpenAlex.

  1. An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
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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

4 authors at 2 institutions in 2 countries.

Katerina ZdravkovaFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia.
Venera KrasniqiFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia.
Fisnik DalipiDepartment of Informatics, Faculty of Technology, Linnaeus University, Växjö, Sweden.
Mexhid FeratiDepartment of Informatics, Faculty of Technology, Linnaeus University, Växjö, Sweden.
Linnaeus University · SESaints Cyril and Methodius University of Skopje · MK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study we provide an in-depth review and analysis of the impact of artificial intelligence (AI) components and solutions that support the development of cutting-edge assistive technologies for children with special needs. Various disabilities are addressed and the most recent assistive technologies that enhance communication and education of disabled children, as well as the AI technologies that have enabled their development, are presented. The paper summarizes with an AI perspective on future assistive technologies and ethical concerns arising from the use of such cutting-edge communication and learning technologies for children with disabilities.

Indexed as

alternative communicationartificial intelligenceassistive technologiesaugmentative communicationdisabled childrenspeech recognitionvoice recognition

Identifiers

PMID36388402
PMCPMC9650429
OpenAlexW4307460067

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.