Digital Early Warning System for Acute Lung Injury in Liver Surgery
This is not medical advice. AI-assisted translation — inaccuracies may occur. Always verify the original and consult your oncologist before taking any steps.
About the trial
This study aims to develop an explainable machine learning model that takes into account the characteristics of cardiopulmonary interactions. This model will enable early prediction of acute lung injury (ALI) in patients undergoing major liver surgery. The research will create a digital early-warning system for ALI, thereby supporting clinical diagnosis and treatment decisions. This, in turn, should help reduce the incidence and mortality rates associated with ALI.
Original English text from ClinicalTrials.gov
Who can (and can't) join
✓ Qualifies
- •Wiek co najmniej 18 lat
- •Poddanie się dużej operacji wątroby (usunięcie większej części wątroby, przeszczep wątroby lub podobna operacja)
- •Dobrowolne uczestnictwo i podpisana zgoda
Simplified criteria — AI translation
Trial details
- Minimum age
- 18 Years
- Last updated (source)
- August 17, 2026
- Sex
- No restrictions
Locations (4)
Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine，Tsinghua University
Beijing, China
Peking University International Hospital
Beijing, China
Southwest Hospital, The First Affiliated Hospital of Army Medical University
Chongqing, China
Huangdao District People's Hospital of Qingdao
Qingdao, China
Trial contact
Gao Zhifeng, MD
Contact information from ClinicalTrials.gov. Contact in English.
Share this trial
Data from ClinicalTrials.gov. AI-assisted translation, last sync: 8/18/2026.
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