ArticleJournal of education and health promotion2025
Challenges and opportunities of using artificial intelligence in rehabilitation from the perspective of students and professors in the Northeast Iran: A cross-sectional study.
Article in Journal of education and health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to describe the current understanding of rehabilitation professors and students of the challenges and opportunities of artificial intelligence (AI) in rehabilitation services. This cross-sectional study was conducted from December 2023 to January 2024. A predeveloped, standard questionnaire was used to collect the data. Questionnaires were distributed via e-mail among rehabilitation students and professors at the Mashhad University of Medical Sciences, northeastern Iran. The majority of students (88.9%) and professors (100.0%) had basic knowledge about AI intelligence. The most important benefits of AI in rehabilitation, according to students (86.9%) and rehabilitation professors (100.0%), are assistive technologies. For the majority of students, their main concern in the implementation of AI intelligence in rehabilitation was the inability to empathize with or understand the complexity of the human experience (48.4%). However, the majority of professors considered the main concern to be the inability to provide judgment in unforeseen situations outside of its planning scope (57.1%). The lack of practical knowledge was identified as an obstacle to the adoption of AI in rehabilitation among students and professors. In addition, the cost and available resources of AI in rehabilitation were the most common barriers noted by experts and students.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.