Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Artificial Intelligence in Medicine|July 29, 2017
A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgeryMichele Tonutti, Gauthier Gras, Guang-Zhong Yang
Postgraduate Medical Journal|November 24, 2016
The role of technology in minimally invasive surgery: state of the art, recent developments and future directionsMichele Tonutti, Daniel S Elson, Guang-Zhong Yang, et al.
Critical Care Explorations|September 30, 2021
Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data ScientistsPatrick J Thoral, Mattia Fornasa, Daan P de Bruin, et al.
International Journal of Medical Informatics|September 26, 2022
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health recordsIacopo Vagliano, Martijn C Schut, Ameen Abu-Hanna, et al.
Critical Care (London, England)|August 24, 2021
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patientsLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Critical Care Explorations|October 21, 2021
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress SyndromeTariq A Dam, Harm-Jan de Grooth, Thomas Klausch, et al.
Critical Care (London, England)|December 28, 2021
Predictors for extubation failure in COVID-19 patients using a machine learning approachLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Intensive Care Medicine Experimental|June 28, 2021
Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data WarehouseLucas M Fleuren, Michele Tonutti, Daan P de Bruin, et al.
Pageof 1