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Implementation of AI systems in the clinical laboratory: insights from an expert survey and recommendations for best practice
0
Zitationen
11
Autoren
2026
Jahr
Abstract
Although many challenges remain, clinical laboratories demonstrate strong enthusiasm for AI, particularly with the growing prevalence of commercial AI products. The timely expert insights from our survey and C-AILM recommendations for both AI system providers and clinical laboratories on essential information, verification requirements, and monitoring strategies will inform standardized guideline development.
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Autoren
Institutionen
- Cornell University(US)
- Weill Cornell Medicine(US)
- Ministry of Health(TR)
- National Cancer Institute(UA)
- Sun Yat-sen University(CN)
- Fudan University(CN)
- Zhongshan Hospital(CN)
- The First Affiliated Hospital, Sun Yat-sen University(CN)
- Center for Discovery(US)
- Universitair Ziekenhuis Leuven(BE)
- KU Leuven(BE)
- Cliniques Universitaires Saint-Luc(BE)
- UCLouvain(BE)
- Roche Pharma AG (Germany)(DE)
- Bellvitge University Hospital(ES)