Artificial Intelligence Applications in Thyroid Cancer Diagnosis: 2026 Update

AI tools for the evaluation of thyroid nodules continue to proliferate, and commercial software to assess lymph nodes and slide specimens may soon become available. Attention to detail is critical for successful implementation and operation.

Authors

Johnson Thomas (ORCID: https://orcid.org/0000-0003-3540-4913)
Franklin N. Tessler (ORCID: https://orcid.org/0000-0003-2229-804X)

Institutions

University of Alabama at Birmingham (US)
Mercy Hospital Springfield (US)

Publication Details

Journal: Thyroid
Published: 2026-01-07
DOI: https://doi.org/10.1177/10507256251412316
Primary Topic: Thyroid Cancer Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

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article

Artificial Intelligence Applications in Thyroid Cancer Diagnosis: 2026 Update

Johnson Thomas, Franklin N. Tessler

Jan 7, 2026

Thyroid

Thyroid Cancer Diagnosis and Treatment

article

Artificial Intelligence Applications in Thyroid Cancer Diagnosis: 2026 Update

Johnson Thomas, Franklin N. Tessler

January 7, 2026article en

Abstract

ThyroidVol. 36(2)

University of Alabama at Birmingham (US), Mercy Hospital Springfield (US)

Openalex Percentile: Top 94%

Thyroid Cancer Diagnosis and Treatment

DOI Source OpenAlex

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Artificial Intelligence Applications in Thyroid Cancer Diagnosis: 2026 Update — Johnson Thomas, Franklin N. Tessler · Thyroid (2026) | TGRS Research Map | TGRS