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Artificial intelligence and thyroid disease management: considerations for thyroid function tests
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 clea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Croatian Society of Medical Biochemistry and Laboratory Medicine
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195598/ https://www.ncbi.nlm.nih.gov/pubmed/35799984 http://dx.doi.org/10.11613/BM.2022.020601 |
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author | Gruson, Damien Dabla, Pradeep Stankovic, Sanja Homsak, Evgenija Gouget, Bernard Bernardini, Sergio Macq, Benoit |
author_facet | Gruson, Damien Dabla, Pradeep Stankovic, Sanja Homsak, Evgenija Gouget, Bernard Bernardini, Sergio Macq, Benoit |
author_sort | Gruson, Damien |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9195598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Croatian Society of Medical Biochemistry and Laboratory Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-91955982022-07-06 Artificial intelligence and thyroid disease management: considerations for thyroid function tests Gruson, Damien Dabla, Pradeep Stankovic, Sanja Homsak, Evgenija Gouget, Bernard Bernardini, Sergio Macq, Benoit Biochem Med (Zagreb) Short Review 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. Croatian Society of Medical Biochemistry and Laboratory Medicine 2022-06-15 2022-06-15 /pmc/articles/PMC9195598/ /pubmed/35799984 http://dx.doi.org/10.11613/BM.2022.020601 Text en Croatian Society of Medical Biochemistry and Laboratory Medicine. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Review Gruson, Damien Dabla, Pradeep Stankovic, Sanja Homsak, Evgenija Gouget, Bernard Bernardini, Sergio Macq, Benoit Artificial intelligence and thyroid disease management: considerations for thyroid function tests |
title | Artificial intelligence and thyroid disease management: considerations for thyroid function tests |
title_full | Artificial intelligence and thyroid disease management: considerations for thyroid function tests |
title_fullStr | Artificial intelligence and thyroid disease management: considerations for thyroid function tests |
title_full_unstemmed | Artificial intelligence and thyroid disease management: considerations for thyroid function tests |
title_short | Artificial intelligence and thyroid disease management: considerations for thyroid function tests |
title_sort | artificial intelligence and thyroid disease management: considerations for thyroid function tests |
topic | Short Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195598/ https://www.ncbi.nlm.nih.gov/pubmed/35799984 http://dx.doi.org/10.11613/BM.2022.020601 |
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