3 documents found, page 1 of 1
AI for the hemodynamic assessment of critically ill and surgical patients: focu...
Michard, Frederic; Mulder, Marijn P.; Gonzalez, Filipe; Sanfilippo, FilippoSeveral artificial intelligence (AI)-driven tools have emerged for the hemodynamic evaluation of critically ill and surgical patients. This article provides an overview of current developments and potential clinical applications of machine learning (ML) for blood pressure measurements, hypotension prediction, hemodynamic profiling, and echocardiography. ML algorithms have shown promise in enabling continuous, n...
Diastology in the intensive care unit: challenges for the assessment and future...
Gonzalez, Filipe; Santonocito, Cristina; Maybauer, Marc O.; Lopes, Luís Rocha; Almeida, Ana G.; Sanfilippo, FilippoMyocardial dysfunction is common in patients admitted to the intensive care unit (ICU). Septic disease frequently results in cardiac dysfunction, and sepsis represents the most common cause of admission and death in the ICU. The association between left ventricular (LV) systolic dysfunction and mortality is not clear for critically ill patients. Conversely, LV diastolic dysfunction (DD) seems increasingly recog...
A perspective review on integrating VR/AR with haptics into STEM education for ...
Sanfilippo, Filippo; Blazauskas, Tomas; Salvietti, Gionata; Ramos, Isabel; Vert, Silviu; Radianti, Jaziar; Majchrzak, Tim A.; Oliveira, DanielAs a result of several governments closing educational facilities in reaction to the COVID-19 pandemic in 2020, almost 80% of the world’s students were not in school for several weeks. Schools and universities are thus increasing their efforts to leverage educational resources and provide possibilities for remote learning. A variety of educational programs, platforms, and technologies are now accessible to supp...