# AIBx, Artificial Intelligence Model to Risk Stratify Thyroid Nodules

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/aibx-artificial-intelligence-model-to-risk-stratify-thyroid-nodules/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Johnson Thomas,Tracy Haertling |
| Citations | 77 |
| DOI | 10.1089/thy.2019.0752 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3005273854 |
| PMID | 32013775 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Johnson Thomas](https://scholariq.org/researchers/johnson-thomas/)

## Paper journal

- [Thyroid](https://scholariq.org/journals/thyroid/)

## Paper primary topic

- [Thyroid Cancer Diagnosis and Treatment](https://scholariq.org/topics/thyroid-cancer-diagnosis-and-treatment/)

## Paper topics

- [Thyroid Cancer Diagnosis and Treatment](https://scholariq.org/topics/thyroid-cancer-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.