Mechanical ventilation requires repeated adjustment to changing patient physiology, but consistent individualized management remains challenging. We developed VentPilot, an artificial intelligence–based system for recommending ventilator settings, and evaluated it in multicenter retrospective validation cohorts. VentPi...
H. Lee, Ga-On An, Yeonwoo Jeong et al.· Journal of Intensive Care· 0 citations
The VLM demonstrated reliable clinical interpretation and an acceptable safety profile, however its integration into clinical workflows for early recognition of physiological deterioration and patient acuity assessment requires further rigorous evaluation and comparison to currently used track-and-trigger systems and p...
I. Strechen, P. Krishnan, O. Kilickaya et al.· International Journal of Med...· 0 citations
A systematic review of the diagnostic performance of multimodal VLMs integrating both patient textual and image data across diverse real-world hospital settings suggests that multimodal VLMs consistently outperform unimodal models with access to only image or text.
L. Eauchai, Laura Otálora González, Yifan Shi et al.· Healthcare· 2 citations
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