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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".
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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Tuinte+RAM%22">Tuinte RAM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Heyning+N%22">Heyning N</searchLink>; Councyl, Delft, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Ten+Broeke+A%22">Ten Broeke A</searchLink>; Councyl, Delft, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Touw+HRW%22">Touw HRW</searchLink>; Radboud university medical center, Department of Intensive Care Medicine, Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Ten+Oever+J%22">Ten Oever J</searchLink>; Radboud university medical center, Department of Internal Medicine, Nijmegen, the Netherlands; Radboud university medical center, Radboud Community for Infectious Diseases (RCI), Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Hoogerwerf+JJ%22">Hoogerwerf JJ</searchLink>; Radboud university medical center, Department of Internal Medicine, Nijmegen, the Netherlands; Radboud university medical center, Radboud Community for Infectious Diseases (RCI), Nijmegen, the Netherlands.
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  Data: <searchLink fieldCode="JN" term="%228610642%22">Journal of critical care</searchLink> [J Crit Care] 2026 Feb; Vol. 91, pp. 155344. <i>Date of Electronic Publication: </i>2025 Nov 14.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22W%2EB%2E+Saunders%22">W.B. Saunders </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8610642 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1557-8615 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208839441%22">08839441 </searchLink><i>NLM ISO Abbreviation: </i>J Crit Care <i>Subsets: </i>MEDLINE; In Process
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        Value: 10.1016/j.jcrc.2025.155344
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      – TitleFull: 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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              Text: 2026 Feb
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