Artificial intelligence and thyroid disease management-Reference-Cited by-同舟云学术

Artificial intelligence and thyroid disease management

Published:2022-06-15 Issue:2 Volume:32 Page:182-188
ISSN:1846-7482
Container-title:Biochemia medica
language:
Short-container-title:Biochem. med. (Online)

Author:

Gruson Damien¹,Stankovic Sanja²,Macq Benoit³,Bernardini Sergio⁴,Gouget Bernard⁵,Homsak Evgenija⁶,Dabla Pradeep⁷

Affiliation:

1. Department of Clinical Biochemistry, Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium

2. Center for Medical Biochemistry, University Clinical Center of Serbia, Beograd, Serbia

3. Institute of Information and Communication Technologies, UCLouvain, Ottignies-Louvain-la-Neuve, Belgium

4. Department of Experimental Medicine, University of Tor Vergata, Rome, Italy

5. Healthcare Division Committee, Comité Français d’accréditation, Paris, France

6. Department for Laboratory Diagnostics, University Clinical Center Maribor, Maribor, Slovenia

7. Department of Biochemistry, Pant Institute of Postgraduate Medical Education & Research, Delhi, India

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.

Publisher

Croatian Society for Medical Biochemistry and Laboratory Medicine

Subject

Biochemistry (medical),Clinical Biochemistry

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