Mercy Hospital Springfield

AIBx, Artificial Intelligence Model to Risk Stratify Thyroid Nodules

Johnson Thomas, Tracy Haertling

2020 · 75 Zit.

External validation of AIBx, an artificial intelligence model for risk stratification, in thyroid nodules

Kristine Zøylner Swan, Johnson Thomas, Viveque Egsgaard Nielsen et al.

2022 · 20 Zit.

Combining Image Similarity and Predictive Artificial Intelligence Models to Decrease Subjectivity in Thyroid Nodule Diagnosis and Improve Malignancy Prediction

Govind Nair, Aishwarya Vedula, Ethan Thomas Johnson et al.

2024 · 6 Zit.

Artificial Intelligence Applications in Thyroid Cancer Care

Nikita Pozdeyev, Samantha White, Caitlin Bell et al.

2025 · 3 Zit.

Addressing the Diagnostic Challenge of Indeterminate Thyroid Nodules: A Review of Multimodal AI-Enhanced Risk Stratification

Johnson Thomas

2025 · 1 Zit.

Improving Diagnostic Precision in Thyroid Pathology by Synergistic Use of AI and Molecular Markers

Sarah Azad, Srisai A. Turangi, Anery Patel et al.

2026 · 0 Zit.

Improving Interobserver Agreement in Thyroid Nodule Evaluation: A Clinical Review of an AI-Based Decision Support System

Johnson Thomas

2024 · 0 Zit.

Enhancing Thyroid Nodule Risk Stratification: Integrating Artificial Intelligence and Polygenic Risk Scores

Johnson Thomas

2024 · 0 Zit.

Artificial Intelligence Applications in Thyroid Cancer Diagnosis: 2026 Update

Johnson Thomas, Franklin N. Tessler

2026 · 0 Zit.