Cannesson, Maxime

Machine-learning algorithm to predict hypotension based on high-fidelity arterial pressure waveform analysis

Hatib, F., Jian, Z., Buddi, S., Lee, C., Settels, J., Sibert, K., Rinehart, J., & Cannesson, M. (2018) · Anesthesiology

Hemodynamic Monitoring and TherapyNon-Invasive Vital Sign Monitoring

Cited by 614

Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality

Lee, C. K., Hofer, I., Gabel, E., Baldi, P., & Cannesson, M. (2018) · Anesthesiology

Cardiac, Anesthesia and Surgical OutcomesMachine Learning in Healthcare

Cited by 185

An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data

Hill, B. L., Brown, R., Gabel, E., Rakocz, N., Lee, C., Cannesson, M., Baldi, P., Olde Loohuis, L., Johnson, R., Jew, B., et al. (2019) · British Journal of Anaesthesia

Cardiac, Anesthesia and Surgical OutcomesMachine Learning in Healthcare

Cited by 103

Monitoring in the Intensive Care

Kipnis, E., Ramsingh, D., Bhargava, M., Dincer, E., Cannesson, M., Broccard, A., Vallet, B., Bendjelid, K., & Thibault, R. (2012) · Critical Care Research and Practice

Hemodynamic Monitoring and TherapySepsis Diagnosis and Treatment

Cited by 87

Intraoperative Transesophageal Echocardiography Using a Miniaturized Transducer in a Neonate Undergoing Norwood Procedure for Hypoplastic Left Heart Syndrome

Cannesson, M., Hénaine, R., Metton, O., Védrinne, C., Delanoy, B., Di Fillipo, S., Neidecker, J., Ninet, J., & Lehot, J.-J. (2008) · Circulation

Congenital Heart Disease StudiesCardiac Valve Diseases and Treatments

Cited by 12