Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI).

Journal: Clinical chemistry and laboratory medicine
Published Date: Apr 24, 2023

Abstract

OBJECTIVES: ChatGPT, a tool based on natural language processing (NLP), is on everyone's mind, and several potential applications in healthcare have been already proposed. However, since the ability of this tool to interpret laboratory test results has not yet been tested, the EFLM Working group on Artificial Intelligence (WG-AI) has set itself the task of closing this gap with a systematic approach.

Authors

  • Janne Cadamuro
    Department of Laboratory Medicine, Paracelsus Medical University Salzburg, Salzburg, Austria.
  • Federico Cabitza
    Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy.
  • Zeljko Debeljak
    Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
  • Sander De Bruyne
    Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • Glynis Frans
    Department of Laboratory Medicine, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
  • Salomon Martin Perez
    Unidad de Bioquímica Clínica, Hospital Universitario Virgen Macarena, Sevilla, Spain.
  • Habib Ozdemir
    Department of Medical Biochemistry, Faculty of Medicine, Manisa Celal Bayar University, Manisa, Türkiye.
  • Alexander Tolios
    Department of Transfusion Medicine and Cell Therapy, Medical University of Vienna, Vienna, Austria.
  • Anna Carobene
    Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Andrea Padoan
    Department of Laboratory Medicine, University-Hospital of Padova, via Giustiniani 2, Padova 35128, Italy.

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