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Roadmap for Representative Artificial Intelligence Models for Thyroid Cancer.

The Laryngoscope 2026 Vol.136(2) p. 528-530

Ramchandani R, Guo E, Biglou SG, Sabbah SG, Mostowy M, Mahiny D, Hurtubise C, Anicho-Okereke G, Shorr R, Caulley L, Propst EJ, Wolter NE, Wasserman JD, Eskander A, Siu JM

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Artificial intelligence (AI) models in thyroid cancer are often not generalizable due to biased or non-representative training and validation datasets.

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BibTeX ↓ RIS ↓
APA Ramchandani R, Guo E, et al. (2026). Roadmap for Representative Artificial Intelligence Models for Thyroid Cancer.. The Laryngoscope, 136(2), 528-530. https://doi.org/10.1002/lary.70169
MLA Ramchandani R, et al.. "Roadmap for Representative Artificial Intelligence Models for Thyroid Cancer.." The Laryngoscope, vol. 136, no. 2, 2026, pp. 528-530.
PMID 41041822
DOI 10.1002/lary.70169

Abstract

Artificial intelligence (AI) models in thyroid cancer are often not generalizable due to biased or non-representative training and validation datasets. We propose a four-stage roadmap emphasizing representative data collection, inclusion of contextual variables, robust training/validation design, and post-deployment monitoring to improve fairness and clinical utility.

MeSH Terms

Humans; Thyroid Neoplasms; Artificial Intelligence

같은 제1저자의 인용 많은 논문 (1)