Authors reply: "How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach".
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| Title: | Authors reply: "How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach". |
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| Authors: | Tuinte RAM; Radboud university medical center, Department of Internal Medicine, Nijmegen, the Netherlands; Radboud university medical center, Radboud Community for Infectious Diseases (RCI), Nijmegen, the Netherlands. Electronic address: renee.tuinte@radboudumc.nl., Heyning N; Councyl, Delft, the Netherlands., Ten Broeke A; Councyl, Delft, the Netherlands., Touw HRW; Radboud university medical center, Department of Intensive Care Medicine, Nijmegen, the Netherlands., Ten Oever J; Radboud university medical center, Department of Internal Medicine, Nijmegen, the Netherlands; Radboud university medical center, Radboud Community for Infectious Diseases (RCI), Nijmegen, the Netherlands., Hoogerwerf JJ; Radboud university medical center, Department of Internal Medicine, Nijmegen, the Netherlands; Radboud university medical center, Radboud Community for Infectious Diseases (RCI), Nijmegen, the Netherlands. |
| Source: | Journal of critical care [J Crit Care] 2026 Feb; Vol. 91, pp. 155344. Date of Electronic Publication: 2025 Nov 14. |
| Publication Type: | Letter |
| Journal Info: | Publisher: W.B. Saunders Country of Publication: United States NLM ID: 8610642 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-8615 (Electronic) Linking ISSN: 08839441 NLM ISO Abbreviation: J Crit Care Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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