Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence-Assisted Diagnostic Technology: A Systematic Review and Meta-Analysis.

ABSTRACT:

Background

Ultrasonography (US) is the most common method of identifying thyroid nodules, but US images require an experienced surgeon for identification. Many artificial intelligence (AI) techniques such as computer-aided diagnostic systems (CAD), deep learning (DL), and machine learning (ML) have been used to assist in the diagnosis of thyroid nodules, but whether AI techniques can improve the diagnostic accuracy of thyroid nodules still needs to be explored.

Objective

To clarify the accuracy of AI-based thyroid nodule US images for differentiating benign and malignant thyroid nodules.

Methods

A search strategy of "subject terms + key words" was used to search PubMed, Cochrane Library, Embase, Web of Science, China Biology Medicine (CBM), and China National Knowledg

SUBMITTER: Xue Y 

PROVIDER: S-EPMC9525757 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature