AI outperforms traditional tests for fatty liver diagnosis?
NCT ID NCT07305636
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tested whether artificial intelligence (AI) could more accurately predict liver scarring (fibrosis) in people with metabolic-associated fatty liver disease (MAFLD). Researchers compared AI models using FibroScan and clinical data against standard noninvasive scores like FIB-4 and APRI in 522 Egyptian adults. The goal is to find a better, needle-free way to diagnose fibrosis and reduce the need for liver biopsies.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, AI could provide a more accurate, noninvasive way to diagnose liver fibrosis in MAFLD patients, potentially reducing the need for liver biopsies.
- What could go wrong
- This is a completed study with 522 participants, but AI models may not generalize to other populations or settings. The results need validation before clinical use.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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522 people
The number who actually took part.
- Started
-
May 2025
- Finished
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Nov 2025
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Adult Egyptian patients (≥18 years) diagnosed with metabolic associated fatty liver disease (MAFLD) according to international criteria, recruited from the outpatient clinic and FibroScan unit of the Tropical Medicine Department, Faculty of Medicine, Tanta University.
- Ages
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18 days and older
- Sex
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Anyone
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: \- Adults ≥18 years. Diagnosed with MAFLD according to international criteria (hepatic steatosis with metabolic dysfunction). Valid FibroScan evaluation with available LSM and CAP values. Exclusion Criteria: * Excessive alcohol intake (\>30 g/day for men, \>20 g/day for women). Chronic viral hepatitis (HBV or HCV). Autoimmune hepatitis. Known malignancy. Pregnancy. Refusal to participate.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Faculty of Medicine
Tanta, Egypt
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Other studies related to the condition(s) this trial covers.
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