Evidence map›Paper›PMID 40025183›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2025

Is there any room for ChatGPT AI bot in speech-language pathology?

Namık Yücel Birol, Hilal Berber Çiftci, Ayşegül Yılmaz, Ayhan Çağlayan, Ferhat Alkan

Erratum issuedAbstract read
In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Namık Yücel BirolDepartment of Speech and Language Therapy, Faculty of Health Sciences, Tarsus University, Mersin, Türkiye. namikyucelbirol@tarsus.edu.tr.ORCID http://orcid.org/0000-0001-7155-3591
Hilal Berber ÇiftciDepartment of Speech and Language Therapy, Faculty of Health Sciences, Tarsus University, Mersin, Türkiye.ORCID http://orcid.org/0000-0002-6577-837X
Ayşegül YılmazDepartment of Speech and Language Therapy, Graduate School of Health Sciences, İstanbul Medipol University, İstanbul, Türkiye.ORCID http://orcid.org/0000-0002-0577-9864
Ayhan ÇağlayanÇağlayan Speech and Language Therapy Center, İzmir, Türkiye.ORCID http://orcid.org/0000-0003-4838-2098
Ferhat AlkanDepartment of Speech and Language Therapy, Institute of Graduate Education, İstinye University, İstanbul, Türkiye.ORCID http://orcid.org/0000-0003-2450-0213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigates the potential of the ChatGPT-4.0 artificial intelligence bot to assist speech-language pathologists (SLPs) by assessing its accuracy, comprehensiveness, and relevance in various tasks related to speech, language, and swallowing disorders.

methodIn this cross-sectional descriptive study, 15 practicing SLPs evaluated ChatGPT-4.0's responses to task-specific queries across six core areas: report writing, assessment material generation, clinical decision support, therapy stimulus generation, therapy planning, and client/family training material generation. English prompts were created in seven areas: speech sound disorders, motor speech disorders, aphasia, stuttering, childhood language disorders, voice disorders, and swallowing disorders. These prompts were entered into ChatGPT-4.0, and its responses were evaluated. Using a three-point Likert-type scale, participants rated each response for accuracy, relevance, and comprehensiveness based on clinical expectations and their professional judgment.

resultsThe study revealed that ChatGPT-4.0 performed with predominantly high accuracy, comprehensiveness, and relevance in tasks related to speech and language disorders. High accuracy, comprehensiveness, and relevance levels were observed in report writing, clinical decision support, and creating education material. However, tasks such as creating therapy stimuli and therapy planning showed more variation with medium and high accuracy levels.

conclusionsChatGPT-4.0 shows promise in assisting SLPs with various professional tasks, particularly report writing, clinical decision support, and education material creation. However, further research is needed to address its limitations in therapy stimulus generation and therapy planning to improve its usability in clinical practice. Integrating AI technologies such as ChatGPT could improve the efficiency and effectiveness of therapeutic processes in speech-language pathology.

Indexed as

Artificial IntelligenceSpeech DisordersSpeech-Language PathologyAdultCross-Sectional StudiesFemaleGenerative Artificial IntelligenceHumansMaleArtificial intelligenceChatGPTClinical supportSpeech-language pathology

Identifiers

PMID40025183
PMCPMC12122639

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.