Artificial intelligence for postoperative plain radiographic assessment after reverse total shoulder arthroplasty: current evidence, clinical readiness, and limitations
- DOI
- 10.5397/cise.2026.00661
- Published
- 2026-09-01
- Container
- Clinics in Shoulder and Elbow
- Publisher
- Korean Shoulder and Elbow Society
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5397/cise.2026.00661,
title = {Artificial intelligence for postoperative plain radiographic assessment after reverse total shoulder arthroplasty: current evidence, clinical readiness, and limitations},
author = {Seok Won Chung and Sung-Jin Park and Yu Sung Yoon and Dong-Hyun Kim and Chul-Hyun Cho and Jun-Young Kim and Jong Pil Yoon},
year = {2026},
journal = {Clinics in Shoulder and Elbow},
doi = {10.5397/cise.2026.00661},
url = {https://doi.org/10.5397/cise.2026.00661}
}RIS
TY - JOUR TI - Artificial intelligence for postoperative plain radiographic assessment after reverse total shoulder arthroplasty: current evidence, clinical readiness, and limitations AU - Seok Won Chung AU - Sung-Jin Park AU - Yu Sung Yoon AU - Dong-Hyun Kim AU - Chul-Hyun Cho AU - Jun-Young Kim AU - Jong Pil Yoon PY - 2026 JO - Clinics in Shoulder and Elbow DO - 10.5397/cise.2026.00661 UR - https://doi.org/10.5397/cise.2026.00661 ER -
APA
Chung, S. W., Park, S., Yoon, Y. S., Kim, D., Cho, C., Kim, J., & Yoon, J. P. (2026). Artificial intelligence for postoperative plain radiographic assessment after reverse total shoulder arthroplasty: current evidence, clinical readiness, and limitations. Clinics in Shoulder and Elbow. https://doi.org/10.5397/cise.2026.00661
Source records
- crossref · retrieved 2026-09-26T12:42:25.931Z