人工智能与甲状腺疾病管理：甲状腺功能检测的注意事项。

IF 3.8 3区医学 Q1 MEDICAL LABORATORY TECHNOLOGY

Biochemia Medica Pub Date : 2022-06-15 DOI:10.11613/BM.2022.020601

Damien Gruson, Pradeep Dabla, Sanja Stankovic, Evgenija Homsak, Bernard Gouget, Sergio Bernardini, Benoit Macq

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引用次数: 0

摘要

人工智能（AI）正在改变医疗保健，并为临床研究、个性化医疗和医疗诊断提供了新的工具。甲状腺功能检测是医生诊断和监测病症的重要资产。人工智能工具显然可以帮助医生和检验医学专家优化检验处方、检验解释、决策制定、流程优化和化验设计。我们的文章将对其中几个方面进行回顾。由于甲状腺人工智能模型依赖于大型数据集，通常需要从多中心贡献的数据中进行分布式学习，因此本文也简要讨论了这一问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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 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.

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来源期刊

Biochemia Medica 医学-医学实验技术

CiteScore

5.50

自引率

3.00%

发文量

审稿时长

>12 weeks

期刊介绍： Biochemia Medica is the official peer-reviewed journal of the Croatian Society of Medical Biochemistry and Laboratory Medicine. Journal provides a wide coverage of research in all aspects of clinical chemistry and laboratory medicine. Following categories fit into the scope of the Journal: general clinical chemistry, haematology and haemostasis, molecular diagnostics and endocrinology. Development, validation and verification of analytical techniques and methods applicable to clinical chemistry and laboratory medicine are welcome as well as studies dealing with laboratory organization, automation and quality control. Journal publishes on a regular basis educative preanalytical case reports (Preanalytical mysteries), articles dealing with applied biostatistics (Lessons in biostatistics) and research integrity (Research integrity corner).