Evidence map›Paper›PMID 41728258›Full record

ArticleJournal of Taibah University Medical Sciences2026

Use of ChatGPT in physical therapy education: Comparative study of usefulness to students and ease of use perceptions, and descriptions of usage patterns.

Salwa B El-Sobkey, Mahmoud ElKholy, Mariam Abdallah, Dina Al-Amir Mohamed, Tayseer Abdeldayem

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Positive Affect and Academic Skill Development Through ChatGPT in Higher Education.European journal of investigation in health, psychology and education · 2026
    Article
  2. Article
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

5 authors.

Salwa B El-SobkeyFaculty of Physical Therapy, Beni-Suef University, Beni-Suef, Egypt.
Mahmoud ElKholyFaculty of Physical Therapy, Beni-Suef University, Beni-Suef, Egypt.
Mariam AbdallahFaculty of Physical Therapy, Beni-Suef University, Beni-Suef, Egypt.
Dina Al-Amir MohamedFaculty of Physical Therapy, Beni-Suef University, Beni-Suef, Egypt.
Tayseer AbdeldayemFaculty of Physical Therapy, Beni-Suef University, Beni-Suef, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare ChatGPT's perceived usefulness (PU) and perceived ease of use (PEU) between users and non-users among undergraduate physical therapy (PT) students, and to describe their usage patterns. Methods: A comparative cross-sectional survey was conducted based on the technology acceptance model among PT students at Beni-Suef University, Egypt, during the academic year of 2024-2025. Eligible students completed a self-administered questionnaire to assess demographic and academic variables, PU, PEU, and ChatGPT utilization patterns. Data were analyzed using descriptive statistics, independent Results: Among 475 respondents, 56.8 % (n = 270) were ChatGPT users. The mean age was 20.8 ± 1.46 years and 52.6 % were females. Users had significantly higher cumulative grade point average (CGPA) scores than non-users (3.4 ± 0.38 vs 3.2 ± 0.52; Conclusion: ChatGPT users perceived it as significantly more useful and easier to use than non-users. Academic characteristics influenced these perceptions rather than personal factors. Despite early adoption, use by PT students remains basic, highlighting the need for structured AI training in PT education.

Indexed as

Artificial intelligenceChatGPTPerceived ease of usePerceived usefulnessPhysical therapy educationTechnology acceptance model

Identifiers

PMID41728258
PMCPMC12924195

What OpenQuestion holds

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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.