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Observational and Prospective Study of Hepatic Steatosis and Related Risk Factors Using Ultrasound and Artificial Intelligence

NCT06103175 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2023-11-09

No results posted yet for this study

Summary

Fatty liver is the most frequent chronic liver disease worldwide and ultrasonography is widely employed for diagnosis. The accuracy of this technique, however, is strongly operator-dependent. Few information is available, so far, on the possible use of algorithms based on Artificial Intelligence (AI) to ameliorate the diagnostic accuracy of ultrasonography in diagnosing fatty liver. This study showed that the use of AI is able to improve the diagnostic accuracy of ultrasonography in the diagnosis of fatty liver

Conditions

  • Liver Steatoses

Sponsors & Collaborators

  • Eurisko Technology srl

    collaborator UNKNOWN

  • Centro Radiologico Lucano

    collaborator UNKNOWN

  • University of Bari

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-15
Primary Completion
2023-06-15
Completion
2024-11-01

Countries

  • Italy

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 NCT06103175 on ClinicalTrials.gov