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"LiverColor": Machine Learning in Liver Photographs

NCT05202886 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 246

Last updated 2022-01-24

No results posted yet for this study

Summary

The main goal of this project is to create a machine learning model in order to quantify liver steatosis in liver donor faster, more objective and reliable than histological analysis and surgeons point-of-view.

Conditions

  • Brain Death
  • Liver Steatosis

Interventions

DIAGNOSTIC_TEST

Liver from deceased donors

Liver donors photographed

Sponsors & Collaborators

  • Hospital Vall d'Hebron

    lead OTHER

Principal Investigators

  • Concepcion Gómez-Gavara, PhD · Vall D´Hebron University Hospital

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-06-30
Primary Completion
2023-12-31
Completion
2023-12-31

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05202886 on ClinicalTrials.gov