Status:
UNKNOWN
Diagnosis and Characterization of Non-Alcoholic Fatty Liver Disease Based on Artificial Intelligence.
Lead Sponsor:
Instituto de Investigación Marqués de Valdecilla
Collaborating Sponsors:
Servicio Cántabro de Salud
Conditions:
Non-alcoholic Fatty Liver Disease (NAFLD)
Eligibility:
All Genders
19-74 years
Brief Summary
A key element in the diagnosis of non-alcoholic fatty liver disease (NAFLD) is the differentiation of non-alcoholic steatohepatitis (NASH) from non-alcoholic fatty liver (NAFL) and the staging of the ...
Detailed Description
The objectives of this observational study are the following: 1. To design a predictive model of significant liver disease due to NAFLD, based on clustering or clustering algorithms (AI) 2. To apply ...
Eligibility Criteria
Inclusion
- Subjects aged 19-74 belonging to the ETHON cohort or registered in the Hepamet Spanish registry of NAFLD or the European NAFLD registry
Exclusion
- Subjects that not fulfill the inclusion criteria and those who did not sign informed consent to participate in the ETHON cohort or to be registered in the mentioned registers.
Key Trial Info
Start Date :
September 30 2019
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2020
Estimated Enrollment :
14046 Patients enrolled
Trial Details
Trial ID
NCT04099147
Start Date
September 30 2019
End Date
December 31 2020
Last Update
September 23 2019
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