An AI-Assisted Adaptive Boolean Rubric for exercise prescription evaluation: A pilot validation study
The AI-assisted Adaptive-PBR establishes a feasible, reliable, and efficient evaluation standard. By combining granular criteria with AI-driven adaptability, it offers a robust alternative to subjective scales, with immediate potential as a quality assurance tool in clinical training and practice.
Authors
- Caihua Huang (ORCID: https://orcid.org/0000-0001-5134-0169)
- Jiacheng Chen (ORCID: https://orcid.org/0009-0005-5147-4702)
- Yue Lai
- Qi Gao (ORCID: https://orcid.org/0000-0001-9091-3337)
- Xiangxun Lai (ORCID: https://orcid.org/0009-0003-6731-7432)
- Shengqi Huang (ORCID: https://orcid.org/0000-0002-8351-4554)
Institutions
- Jimei University (CN)
- Xiamen University (CN)
- Xiamen University of Technology (CN)
- Beijing Sport University (CN)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-11-23
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.106202
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65