− EDUCATION To develop a machine learning (ML)-based predictive model for assessing the risk of zero-dose children using…+ HEALTH Chronic kidney disease (CKD) presents a growing public health challenge in China, exacerbated by low patient…+ POLICY Digital transformation in pharmaceutical regulatory affairs is accelerating as global submissions grow in com…− HEALTH The objective of this study is to develop and validate a Picture Archiving and Communication System-integrate…− HEALTH Artificial intelligence (AI) is increasingly used in cerebral small vessel disease (CSVD) imaging, but the ex…− HEALTH Background Large language models (LLMs) are increasingly accessed by patients for gastrointestinal health inf…− HEALTH Artificial intelligence in ophthalmology encounters a continual challenge: Systems proficient in picture clas…− HEALTH The FDA received a malfunction report involving Inogen one g5 oxygen concentrator, made by Inogen, Inc.. Rece…
TruaceTracing the truth around AISunday, September 20, 2026
Subscribe
Health·P Space·Evidence-backed problem·Published 2026-09-20

Development and Validation of a Picture Archiving and Communication System-Integrated Artificial Intelligence for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma

Abstract: 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…

TRV-2026-1150Peer-reviewedPermanent record — cite & verify
Development and Validation of a Picture Archiving and Communication System-Integrated Artificial Intelligence for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma

202306 Cervical Cancer Screening by DataBase Center for Life Science (DBCLS). CC BY 4.0 · https://creativecommons.org/licenses/by/4.0

The quick read

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 cohorts.

The AI model consisted of a 3D TransUNet partition network, a Swin UNETR segmentation network, and a 3D U-Net classification network, all of which were integrated into the PACS. Additional data from 202 patients with PTC (including 202 LNs) were collected from the aforementioned two centers to evaluate the improvement in radiologists' diagnostic performance with PACS-AI assistance.

Main points
  • 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 cohorts.
  • The AI model consisted of a 3D TransUNet partition network, a Swin UNETR segmentation network, and a 3D U-Net classification network, all of which were integrated into the PACS.
Problem

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).

Sources

Reader signal

How should this claim be treated?

The debate