Artificial Intelligence Applications in Thyroid Cancer Care
AI promises to improve thyroid cancer diagnosis, reduce health care costs and enable personalized management. High-quality, independent prospective validation of AI in clinical trials is lacking and is necessary for the clinical community's broad adoption of this technology.
Authors
- Johnson Thomas (ORCID: https://orcid.org/0000-0003-3540-4913)
- Nikita V. Pozdeyev (ORCID: https://orcid.org/0000-0001-8574-1972)
- Samantha White
- Caitlin Bell (ORCID: https://orcid.org/0000-0001-7352-142X)
- Bryan R. Haugen (ORCID: https://orcid.org/0000-0001-7005-8994)
Institutions
- Mercy Hospital Springfield (US)
- University of Colorado Cancer Center (US)
- University of Colorado Anschutz Medical Campus (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- The Journal of Clinical Endocrinology & Metabolism
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1210/clinem/dgaf530
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96