A comprehensive survey of artificial intelligence adoption in European laboratory medicine: current utilization and prospects
Despite the recognized potential of AI to revolutionize laboratory medicine by enhancing diagnostic accuracy and efficiency, European laboratories face substantial challenges. This survey highlights a critical need for strategic investments in educational programs and infrastructure improvements to support AI integration in laboratory medicine across Europe. Future efforts should focus on enhancing data accessibility, upgrading technological tools, and expanding AI training and literacy among professionals. In response, our working group plans to develop and make available online training materials to meet this growing educational demand.
Authors
- Habib Özdemir (ORCID: https://orcid.org/0000-0002-1267-7233)
- Federico Cabitza (ORCID: https://orcid.org/0000-0002-4065-3415)
- Alexander Tolios (ORCID: https://orcid.org/0000-0001-9163-7127)
- Željko Debeljak (ORCID: https://orcid.org/0000-0002-1789-5387)
- Anna Carobene (ORCID: https://orcid.org/0000-0003-0147-9378)
- Daniel Rajdl (ORCID: https://orcid.org/0000-0002-0503-7780)
- Sander De Bruyne (ORCID: https://orcid.org/0000-0002-9041-4404)
- Janne Cadamuro (ORCID: https://orcid.org/0000-0002-6200-9831)
- Andrea Padoan (ORCID: https://orcid.org/0000-0003-1284-7885)
- Glynis Frans (ORCID: https://orcid.org/0000-0001-8528-5719)
- Salomón Martín Pérez (ORCID: https://orcid.org/0000-0002-2086-3597)
- William van Doorn
- Elias Johannes
Institutions
- University of Padua (IT)
- Vita-Salute San Raffaele University (IT)
- Manisa Celal Bayar University (TR)
- Charles University (CZ)
- Paracelsus Medical University (AT)
- Ghent University (BE)
- Maastricht University (NL)
- Hospital Universitario Virgen Macarena (ES)
- Istituto Clinico Sant'Ambrogio (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- AZ Sint-Blasius (BE)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
- University of Osijek (HR)
- University of Milano-Bicocca (IT)
- Medical University of Vienna (AT)
- KU Leuven (BE)
Publication Details
- Journal
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1515/cclm-2024-1016
- Citations
- 22
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.65