Evidence map›Paper›PMID 40989249›Full record

ArticleFrontiers in digital health2025

Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.

Manuela Deodato, Raffaele Sabot, Alessandra Galmonte, Alvisa Palese, Greta Castellini, Andrea Turolla, Paolo Pillastrini, Chad Cook, Lia Rodeghiero, Silvia Gianola and 1 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Manuela DeodatoDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy.
Raffaele SabotDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy.
Alessandra GalmonteDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy.
Alvisa PaleseDepartment of Medical Sciences, University of Udine, Udine, Italy.
Greta CastelliniUnit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Andrea TurollaDepartment of Biomedical and Neuromotor Sciences-DIBINEM, Alma Mater Studiorum Università di Bologna, Bologna, Italy.
Paolo PillastriniDepartment of Biomedical and Neuromotor Sciences-DIBINEM, Alma Mater Studiorum Università di Bologna, Bologna, Italy.
Chad CookDepartment of Orthopaedics, Duke University, Durham, NC, United States.
Lia RodeghieroDepartment of Rehabilitation, Hospital of Merano (SABES-ASDAA), Teaching Hospital of Paracelsus Medical University (PMU), Merano-Meran, Italy.
Silvia GianolaUnit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Giacomo RossettiniSchool of Physiotherapy, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Artificial Intelligence (AI) Chatbots are increasingly being integrated into healthcare, but little is known about their role in physiotherapy. This study investigated the knowledge and use, perceived benefits, limits, and barriers of AI Chatbots in the Italian physiotherapy community. Methods: A cross-sectional survey was conducted between March and July 2024. Italian physiotherapists, members of the Associazione Italiana di Fisioterapia (AIFI), were invited through mailing lists and social media. Inclusion criteria: AIFI membership, current employment as a physiotherapist, Italian language proficiency, and willingness to participate. A total of 415 out of 2,773 physiotherapists responded (15% response rate); 50.6% were women, and 50.4% had more than 10 years of experience. The survey comprised four sections: (a) respondent characteristics; (b) knowledge and use of AI Chatbots; (c) perception of benefits; and (d) perception of limits and barriers. Descriptive statistics and multivariable logistic regression analyses were performed. Results: Overall, 93.3% of physiotherapists had heard of AI Chatbots, but 66.9% had never used them in clinical practice. Among those who had, 11.3% reported a "positive" and 14.5% a "very positive" experience. Despite limited use, 78% expressed a positive attitude towards future adoption, and 50% considered AI Chatbots potentially helpful in clinical practice. Reported risks included patient self-diagnosis (84.4%), spread of false information (72.1%), and reduced human interaction (64%). Having more than 21 years of experience was significantly associated with a higher frequency of AI Chatbot use (OR: 5.93, Conclusion: Italian physiotherapists acknowledged both opportunities and risks in implementing AI Chatbots. Although current adoption is limited, the overall positive attitude suggests a likely increase in future use. Targeted strategies, including guidelines and educational initiatives, are needed to ensure safe and effective integration into clinical practice.

Indexed as

artificial intelligence—AIchatbotchatGPTlarge language model (LLM)painphysiotherapy (MeSH)rehabilitationsurvey

Identifiers

PMID40989249
PMCPMC12450932

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