aceDevelopment and Validation of a Picture Archiving and Communication System-Integrated Artificial Intelligence for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
The objective of this study is to develop and validate a Picture Archiving and Communication System-integrated artificial intelligence (PACS-AI) tool for automated neck-level localization, three-dimensional (3D) segmentation, and metastasis risk prediction of cervical lymph nodes (LNs) in patients with papillary thyroid carcinoma (PTC). CT images from 710 patients with PTC, including 4942 LNs, were retrospectively collected from two medical centers and divided into training, internal test, and external test coho…
A PACS-integrated AI tool was developed and validated on CT images from 710 patients to localize, segment and predict metastasis risk of cervical lymph nodes in thyroid cancer.
Evidence
- Peer-reviewedJournal of Imaging Informatics in Medicine2026-09-18
How should this claim be treated?
Truvace Impact Record TRV-2026-1150, v3: “Development and Validation of a Picture Archiving and Communication System-Integrated Artificial Intelligence for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.” Truvace, 2026-11-04. /record/TRV-2026-1150 (accessed at citation time). sha256 7b845ef3abdf3483…
Calibration history
Every change to this record since certification, in the open.
Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain activity_only, problem absent).
Direction audit: filed as a problem but describes a gain.
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