Application of a time series foundation model to noninvasively estimate intracranial pressure.

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Title: Application of a time series foundation model to noninvasively estimate intracranial pressure.
Authors: Megjhani M; Department of Neurology, Columbia University, New York, NY, USA.; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA., Weinerman B; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA.; Division of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University, New York, NY, USA., Alalqum T; Department of Neurology, Columbia University, New York, NY, USA.; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA., Li Y; Department of Neurology, Columbia University, New York, NY, USA.; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA., Zhou Z; Department of Neurology, Columbia University, New York, NY, USA.; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA., Lau B; Department of Neurology, Columbia University, New York, NY, USA.; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA., Kwon SB; Department of Neurology, Columbia University, New York, NY, USA.; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA., Ku Y; Department of Neurology, Columbia University, New York, NY, USA., Velazquez A; Department of Neurology, Columbia University, New York, NY, USA., Ghoshal S; Department of Neurology, Columbia University, New York, NY, USA.; NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, New York, NY, USA., Roh DJ; Department of Neurology, Columbia University, New York, NY, USA.; NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, New York, NY, USA., Agarwal S; Department of Neurology, Columbia University, New York, NY, USA.; NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, New York, NY, USA., Connolly ES Jr; Department of Neurosurgery, Columbia University, New York, NY, USA.; NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, New York, NY, USA., Claassen J; Department of Neurology, Columbia University, New York, NY, USA.; NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, New York, NY, USA., Park S; Department of Neurology, Columbia University, New York, NY, USA. spark@columbia.edu.; Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University, New York, NY, USA. spark@columbia.edu.; NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, New York, NY, USA. spark@columbia.edu.; Department of Biomedical Informatics, Columbia University, New York, NY, USA. spark@columbia.edu.; 177 Fort Washington Ave, 8 Milstein - 300 Center, New York, NY, 10032, USA. spark@columbia.edu.
Source: Journal of clinical monitoring and computing [J Clin Monit Comput] 2025 Dec; Vol. 39 (6), pp. 1283-1292. Date of Electronic Publication: 2025 Oct 09.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 9806357 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2614 (Electronic) Linking ISSN: 13871307 NLM ISO Abbreviation: J Clin Monit Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-2614
DOI:10.1007/s10877-025-01366-z