ArticleJournal of clinical and translational science2025
Building AI competence in the healthcare workforce with the AI for clinical care workshop: A Bridge2AI for clinical CHoRUS project.
Article in Journal of clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Current Landscape of Curriculum Development and Implementation in Medical Artificial Intelligence: A Scoping Review.Journal of multidisciplinary healthcare · 2026Review
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
Background: The implementation of artificial intelligence (AI) tools into clinical spheres emphasizes the critical need for an AI-competent healthcare workforce that can interpret AI output and identify its limitations. Without comprehensive training, there is a risk of misapplication, mistrust, and underutilization. Workforce skill development events such as workshops and hackathons can increase AI competence and foster interdisciplinary collaboration to promote optimal patient care. Methods: The University of Florida hosted the AI for Clinical Care (AICC) workshop in April 2024 to address the need for AI-competent healthcare professionals. The hybrid workshop featured a beginner and advanced track with interactive sessions, hands-on skill development, and networking opportunities led by experts. An anonymous, voluntary post-workshop survey asked participants to score their knowledge and skills before and after the AICC workshop. A second, follow-up survey was administered approximately nine months later. Results: Ninety participants attended the AICC workshop, forty-one attendees completed the post-workshop survey, and six attendees completed the follow-up survey. Paired Conclusion: The AICC workshop successfully advanced AI literacy among biomedical professionals and promoted collaborative peer networks. Continued efforts are recommended to enhance participant engagement and ensure equitable access to AI education in clinical settings.
Indexed as
Identifiers
What Socratic 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 Socratic graph.