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

Journal: Biochemia medica
PMID: 35799984

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.

Authors

  • Damien Gruson
    Department of Laboratory Medicine, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium.
  • Pradeep Dabla
    Department of Biochemistry, Pant Institute of Postgraduate Medical Education & Research, Delhi, India.
  • Sanja Stankovic
    Centre of Medical Biochemistry, Clinical Center of Serbia, Belgrade, Serbia.
  • Evgenija Homsak
    Department for Laboratory Diagnostics, University Clinical Center Maribor, Maribor, Slovenia.
  • Bernard Gouget
    President-Healthcare Division Committee, Comité Français d'accréditation (Cofrac), 75012 Paris, France; Emerging Technologies Division-MHBLM Committee, International Federation Clinical Chemistry and Laboratory Medicine (IFCC), Italy.
  • Sergio Bernardini
    IFCC Emerging Technologies Division.
  • Benoit Macq
    Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), UCLouvain, Belgium.

Keywords

External Resources

Popular Topics
Recent Journals