Harnessing operating room signals to estimate mean arterial pressure with AnesthNet.

ABSTRACT: Monitoring mean arterial pressure (MAP) is essential for ensuring safe general anesthesia. Current practices rely either on non-invasive cuff measurements, which suffer from poor temporal resolution, or invasive arterial lines, which provide excellent accuracy and resolution but carry a significant risk of complications. Therefore, identifying alternatives to arterial lines in the operating rooms is a pressing need. Despite the importance of this issue in the community, clinically viable non-invasive MAP monitoring methods have yet to emerge. Existing approaches often encounter reproducibility issues, notably on large, open-source databases, and are not always optimized for real-time predictions. To address these limitations, this study introduces AnesthNet, a deep learning architecture de

SUBMITTER: Perdereau J 

PROVIDER: S-EPMC12484649 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature