Using AI to understand liver fat in people with HIV

Use of Deep Learning Algorithms to Enable Evaluation of the Determinants and Outcomes of Hepatic Steatosis, by HIV Status

['FUNDING_CAREER'] · UNIVERSITY OF PENNSYLVANIA · NIH-11080238

This study is looking at how fat in the liver affects people with HIV by using special computer technology to examine CT scans, and it aims to help improve how we diagnose and manage liver health for those living with this condition.

Quick facts

Phase['FUNDING_CAREER']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF PENNSYLVANIA (nih funded)
Locations1 site (PHILADELPHIA, UNITED STATES)
Trial IDNIH-11080238 on ClinicalTrials.gov

What this research studies

This research investigates how liver fat, known as hepatic steatosis, affects individuals living with HIV. By utilizing advanced deep learning algorithms, the study aims to analyze non-invasive abdominal CT scans to identify the presence and severity of liver fat. The goal is to better understand the factors contributing to liver disease in this population, which is crucial for developing effective management strategies. Participants may benefit from improved diagnostic techniques that could lead to better health outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals living with HIV who may be experiencing liver-related health issues.

Not a fit: Patients who do not have HIV or those without liver health concerns may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate assessments and interventions for liver disease in people living with HIV.

How similar studies have performed: Other research has shown promise in using AI for medical imaging, indicating that this approach could be effective in understanding liver conditions.

Where this research is happening

PHILADELPHIA, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Conditions: Acquired Immune Deficiency Syndrome Virus, Acquired Immunodeficiency Syndrome Virus

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.