Assessing the accuracy of ChatGPT-5.6 in American College of Radiology Thyroid Imaging Reporting and Data System feature scoring and classification from synthetic free-text thyroid ultrasound reports
- DOI
- 10.1177/03000605261494875
- Published
- 2026-10
- Container
- Journal of International Medical Research
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/03000605261494875,
title = {Assessing the accuracy of ChatGPT-5.6 in American College of Radiology Thyroid Imaging Reporting and Data System feature scoring and classification from synthetic free-text thyroid ultrasound reports},
author = {Ziman Chen and Yingli Wang},
year = {2026},
journal = {Journal of International Medical Research},
doi = {10.1177/03000605261494875},
url = {https://doi.org/10.1177/03000605261494875}
}RIS
TY - JOUR TI - Assessing the accuracy of ChatGPT-5.6 in American College of Radiology Thyroid Imaging Reporting and Data System feature scoring and classification from synthetic free-text thyroid ultrasound reports AU - Ziman Chen AU - Yingli Wang PY - 2026 JO - Journal of International Medical Research DO - 10.1177/03000605261494875 UR - https://doi.org/10.1177/03000605261494875 ER -
APA
Chen, Z., & Wang, Y. (2026). Assessing the accuracy of ChatGPT-5.6 in American College of Radiology Thyroid Imaging Reporting and Data System feature scoring and classification from synthetic free-text thyroid ultrasound reports. Journal of International Medical Research. https://doi.org/10.1177/03000605261494875
Source records
- crossref · retrieved 2026-11-10T10:13:22.480Z