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Review
. 2022 Jun 15;32(2):020601.
doi: 10.11613/BM.2022.020601.

Artificial intelligence and thyroid disease management: considerations for thyroid function tests

Damien Gruson  1 , Pradeep Dabla  2 , Sanja Stankovic  3 , Evgenija Homsak  4 , Bernard Gouget  5 , Sergio Bernardini  6 , Benoit Macq  7
Affiliations
Review

Artificial intelligence and thyroid disease management: considerations for thyroid function tests

Damien Gruson et al. Biochem Med (Zagreb). .

Abstract

Artificial intelligence (AI) is transforming healthcare and offers new tools in clinical research, personalized medicine, and medical diagnostics. Thyroid function tests represent an important asset for physicians in the diagnosis and monitoring of pathologies. Artificial intelligence tools can clearly assist physicians and specialists in laboratory medicine to optimize test prescription, tests interpretation, decision making, process optimization, and assay design. Our article is reviewing several of these aspects. As thyroid AI models rely on large data sets, which often requires distributed learning from multi-center contributions, this article also briefly discusses this issue.

Keywords: artificial intelligence; biomarkers; clinical decision support system; digital health; thyroid diseases.

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Conflict of interest statement

Potential conflict of interest None declared.

Figures

Figure 1
Figure 1
The perspectives associated to the integration of AI and thyroid function tests. The figure was prepared with the use of www.biorender.com. AI - Artificial intelligence.
See this image and copyright information in PMC

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