Clinical Trial: Deep Learning Framework for Continuous Depth of Anesthesia Forecasting

U.S., April 18 -- ClinicalTrials.gov registry received information related to the study (NCT07536230) titled 'Deep Learning Framework for Continuous Depth of Anesthesia Forecasting' on April 02.

Brief Summary: The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive. Deep learning architectures, specifically Long Short-Term Memory (LSTM) networks, excel at processing complex, time-series data to forecast future clinical states.

While standard PK/PD models (such as the state of the art Eleveld model for Propofol and Remifentanil) estimate target-site drug concentrations (Ce), they do not account for real-time, patient-specific dynamic responses. This stud...