U.S., July 18 -- ClinicalTrials.gov registry received information related to the study (NCT07070362) titled 'Digital Early Warning System for Acute Lung Injury in Liver Surgery' on June 11.
Brief Summary: This study focuses on developing an explainable machine learning model based on cardiopulmonary interaction characteristics to achieve early prediction of acute lung injury (ALI) in patients undergoing major liver surgery. The research will establish a digital early-warning system for ALI to provide support for clinical diagnosis and treatment decisions, thereby reducing the incidence and fatality rate of ALI.
Study Start Date: Nov. 01, 2024
Study Type: OBSERVATIONAL
Condition:
Acute Lung Injury(ALI)
Liver Cirrhosis
ARDS, Human
MASLD...