ArticleCureus2024
Artificial Intelligence and Digital Divide in Physiotherapy Education.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Integrating generative AI into physiotherapy education: students' use, perceptions, and generative AI literacy following curricular adaptations: a repeated cross-sectional programme evaluation.BMC medical education · 2026Article
- Building a new ecosystem for digital-intelligent teaching of veterinary infectious diseases in southwest Chinese universities: theoretical framework and practical pathways.Frontiers in veterinary science · 2026Review
- Article
- Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study.BMC medical education · 2025Article
- Article
- The effectiveness of artificial intelligence models in addressing the concerns of families of children with cerebral palsy: a comparative analysis of ChatGPT, Gemini, and DeepSeek.Frontiers in pediatrics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The potential of artificial intelligence (AI) in health care and education has become increasingly evident, promising to revolutionize how healthcare professionals deliver services and how learners engage with educational content. AI enhances individualized student learning experiences and transforms education delivery by adapting to emerging healthcare advancements. We emphasize the current need for more exploration of AI's applications in day-to-day education in physiotherapy schools. We conducted a PubMed search, revealing a significant gap in research on AI in physiotherapy education compared to medical and dental education. Knowledge gaps and varied perspectives among Canadian healthcare students, including physiotherapy students, highlight the need for targeted educational strategies and ethical considerations. We conclude with a call to bridge the digital divide in physiotherapy education, stressing the importance of integrating AI to empower students and foster innovation in physiotherapy education.
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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.