Evidence map›Paper›PMID 40251635›Full record

ArticleBMC medical education2025

Knowledge and use, perceptions of benefits and limitations of artificial intelligence chatbots among Italian physiotherapy students: a cross-sectional national study.

Fabio Tortella, Alvisa Palese, Andrea Turolla, Greta Castellini, Paolo Pillastrini, Maria Gabriella Landuzzi, Chad Cook, Giovanni Galeoto, Giuseppe Giovannico, Lia Rodeghiero and 2 more

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

12 authors.

Fabio Tortella *Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy.ORCID http://orcid.org/0009-0006-1737-2670
Alvisa Palese *Department of Medical Sciences, University of Udine, Udine, Italy.ORCID http://orcid.org/0000-0002-3508-844X
Andrea TurollaDepartment of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0002-1609-8060
Greta CastelliniUnit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.ORCID http://orcid.org/0000-0002-3345-8187
Paolo PillastriniDepartment of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0002-8396-2250
Maria Gabriella LanduzziDepartment of Human Sciences, University of Verona, Verona, Italy.ORCID http://orcid.org/0000-0003-3913-0286
Chad CookDepartment of Orthopaedics, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0001-8622-8361
Giovanni GaleotoDepartment of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy.ORCID http://orcid.org/0000-0002-9043-5686
Giuseppe GiovannicoDepartment of Medicine and Health Science "Vincenzo Tiberio", University of Molise c/o Cardarelli Hospital, Campobasso, Italy.ORCID http://orcid.org/0000-0003-2385-6816
Lia RodeghieroDepartment of Rehabilitation, Hospital of Merano (SABES-ASDAA), Teaching Hospital of Paracelsus Medical University (PMU), Merano-Meran, Italy. lia.rodeghiero@sabes.it.
Silvia Gianola *Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.ORCID http://orcid.org/0000-0003-3770-0011
Giacomo Rossettini *School of Physiotherapy, University of Verona, Verona, Italy.ORCID http://orcid.org/0000-0002-1623-7681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial Intelligence (AI) Chatbots (e.g., ChatGPT, Microsoft Bing, and Google Bard) can emulate human interaction and may support physiotherapy education. Despite growing interest, physiotherapy students' perspectives remain unexplored. This study investigated Italian physiotherapy students' knowledge, use, and perception of the benefits and limitations of AI Chatbots.

methodsA cross-sectional study was conducted through Survey Monkey from February to June 2024. One thousand five hundred and thirty-one physiotherapy students from 10 universities were involved. The survey consisted of 23 questions investigating: (a) respondent characteristics, (b) AI Chatbot knowledge and use, (c) perceived benefits, and (d) limitations. Multiple-choice and Likert-scale-based questions were adopted. Factors associated with knowledge, use, and perceptions of AI were explored using logistic regression models.

resultsOf 589 students (38%) that completed the survey, most were male (n = 317; 53.8%) with a mean age of 22 years (SD = 3.88). Nearly all (n = 561; 95.3%) had heard of AI Chatbots, but 53.7% (n = 316) never used these tools for academic purposes. Among users, learning support was the most common purpose (n = 187; 31.8%), while only 9.9% (n = 58) declared Chatbot use during internships. Students agreed that Chatbots have limitations in performing complex tasks and may generate inaccurate results (median = 3 out of 4). However, they neither agreed nor disagreed about Chatbots' impact on academic performance, emotional intelligence, bias, and fairness (median = 2 out of 4). The students agreed to identify the risk of misinformation as a primary barrier (median = 3 out of 4). In contrast, they neither agreed nor disagreed on content validity, plagiarism, privacy, and impacts on critical thinking and creativity (median = 2 out of 4). Young students had 11% more odds of being familiar with Chatbots than older students (OR = 0.89; 95%CI 0.84-0.95; p = < 0.01), whereas female students had 39% lesser odds than males to have used Chatbots for academic purposes (OR = 0.61; 95%CI 0.44-0.85; p = < 0.01).

conclusionsWhile most students recognize the potential of AI Chatbots, they express caution about their use in academia. Targeted training for students and faculty, supported by institutional and national guidelines, could guarantee a responsible integration of these technologies into physiotherapy education.

trial registrationNot applicable.

Indexed as

Artificial IntelligenceHealth Knowledge, Attitudes, PracticePhysical Therapy SpecialtyStudents, Health OccupationsAdultCross-Sectional StudiesFemaleGenerative Artificial IntelligenceHumansItalyMaleSurveys and QuestionnairesYoung AdultArtificial intelligence chatbotsEducationPhysiotherapyStudentSurvey

Identifiers

PMID40251635
PMCPMC12007325

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.