Back to search

Article

An Agentic, No Code Artificial Intelligence Workflow for Developing and Externally Validating a Thyroid Nodule Ultrasound Malignancy Classifier

2026-06-26

Abstract excerpt

Convolutional neural networks (CNNs) can classify thyroid nodules on ultrasound, yet published models are seldom available for independent testing, require machine-learning expertise to develop and deploy, and are validated mostly on papillary thyroid carcinoma. <h4>Objective</h4> To test whether an autonomous (“agentic”), no-code artificial intelligence (AI) agent can develop a calibrated thyroid-nodule malignan...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
027a4740-2d88-58b8-9056-d83d9dc2591d
DOI
10.64898/2026.06.23.26356395
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An Agentic, No Code Artificial Intelligence Workflow for Developing and Externally Validating a Thyroid Nodule Ultrasound Malignancy ClassifierDOI 10.64898/2026.06.23.26356395
Select a neighboring publication to make it the new centre.