Use of artificial intelligence and machine learning for estimating malignancy risk of thyroid nodules.

Journal: Current opinion in endocrinology, diabetes, and obesity

Published Date: Oct 1, 2020

Abstract

PURPOSE OF REVIEW: Current methods for thyroid nodule risk stratification are subjective, and artificial intelligence algorithms have been used to overcome this shortcoming. In this review, we summarize recent developments in the application of artificial intelligence algorithms for estimating the risks of malignancy in a thyroid nodule.

Authors

Johnson Thomas

Department of Endocrinology, Mercy Hospital, Springfield, Missouri, USA.
Gregory A Ledger

Department of Endocrinology, Mercy Hospital, Springfield, Missouri.
Chaitanya K Mamillapalli

Department of Endocrinology, Springfield Clinic, Springfield, Illinois, USA.

Keywords

Algorithms Artificial Intelligence Humans Machine Learning Prognosis Risk Assessment Risk Factors Thyroid Neoplasms Thyroid Nodule Ultrasonography

External Resources

View on PubMed Access via DOI PubMed (32740044)

Use of artificial intelligence and machine learning for estimating malignancy risk of thyroid nodules.

Abstract

Authors

Keywords

External Resources

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