In-hospital testing of NIVPredict - an AI tool for early prediction of non-invasive ventilation outcome in acute respiratory failure

Yu, Hang; Saffaran, Sina; Ali, Abdisamad; Henry, Catherine; Mustfa, Naveed; Thomas, Ajit; Rajhan, Ashwin; Isrhad, Sannaan; Weaver, Liam; Tonelli, Roberto; Menga, Luca-S; Zhang, Qingchen; Samadi, Moein-Einollahzadeh; Schuppert, Andreas; Laffey, John-G; Camporota, Luigi; Esquinas-Rodríguez, Antonio; Grieco, Domenico-L; Antonelli, Massimo; Martins-de-Lima, Lucas; Kawano-Dourado, Letícia; Maia, Israel-S; Cavalcanti, Alexandre-Biasi; Clini, Enrico; Scott, Timothy-E; Bates, Declan-G

RICSMUR Principal
→
02. Servicio Murciano de Salud (SMS)
→
02.06. Área de Salud VI Vega Media
→
02.06.01. Investigación y comunicación científica
→
Ver ítem

dc.contributor.author	Yu, Hang
dc.contributor.author	Saffaran, Sina
dc.contributor.author	Ali, Abdisamad
dc.contributor.author	Henry, Catherine
dc.contributor.author	Mustfa, Naveed
dc.contributor.author	Thomas, Ajit
dc.contributor.author	Rajhan, Ashwin
dc.contributor.author	Isrhad, Sannaan
dc.contributor.author	Weaver, Liam
dc.contributor.author	Tonelli, Roberto
dc.contributor.author	Menga, Luca-S
dc.contributor.author	Zhang, Qingchen
dc.contributor.author	Samadi, Moein-Einollahzadeh
dc.contributor.author	Schuppert, Andreas
dc.contributor.author	Laffey, John-G
dc.contributor.author	Camporota, Luigi
dc.contributor.author	Esquinas-Rodríguez, Antonio
dc.contributor.author	Grieco, Domenico-L
dc.contributor.author	Antonelli, Massimo
dc.contributor.author	Martins-de-Lima, Lucas
dc.contributor.author	Kawano-Dourado, Letícia
dc.contributor.author	Maia, Israel-S
dc.contributor.author	Cavalcanti, Alexandre-Biasi
dc.contributor.author	Clini, Enrico
dc.contributor.author	Scott, Timothy-E
dc.contributor.author	Bates, Declan-G
dc.date.accessioned	2026-04-20T09:45:37Z
dc.date.available	2026-04-20T09:45:37Z
dc.date.issued	2026-02-15
dc.identifier.citation	Yu H, Saffaran S, Ali A, Henry C, Mustfa N, Thomas A, et al. In-hospital testing of NIVPredict - an AI tool for early prediction of non-invasive ventilation outcome in acute respiratory failure. Crit Care. 15 de febrero de 2026. doi:10.1186/s13054-026-05894-1
dc.identifier.issn	1364-8535
dc.identifier.uri	https://sms.carm.es/ricsmur/handle/123456789/25965
dc.language.iso	eng
dc.publisher	SPRINGERNATURE
dc.rights	Atribución/Reconocimiento 4.0 Internacional
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/deed.es	*
dc.title	In-hospital testing of NIVPredict - an AI tool for early prediction of non-invasive ventilation outcome in acute respiratory failure
dc.type	info:eu-repo/semantics/article
dc.identifier.pmid	41692794
dc.relation.publisherversion	https://link.springer.com/10.1186/s13054-026-05894-1
dc.type.version	info:eu-repo/semantics/publishedVersion
dc.identifier.doi	10.1186/s13054-026-05894-1
dc.journal.title	Critical care : the official journal of the Critical Care Forum