# Assessment of Liver Diseases Using a Deep-Learning Approach Based on Ultrasound RF-Data

> **NCT06317181** · NA · RECRUITING · sponsor: **Technische Universität Dresden** · enrollment: 200 (estimated)

## Conditions studied

- Artificial Intelligence
- Ultrasonography
- Elasticity Imaging Techniques
- Liver Diseases
- Metastasis to Liver

## Interventions

- **DEVICE:** Collection of elastography data
- **DEVICE:** Collection of ultrasonic raw data

## Key facts

- **NCT ID:** NCT06317181
- **Lead sponsor:** Technische Universität Dresden
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** RECRUITING
- **Start date:** 2024-04-01
- **Primary completion:** 2025-10
- **Final completion:** 2025-12
- **Target enrollment:** 200 (ESTIMATED)
- **Last updated:** 2025-08-20

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06317181

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06317181, "Assessment of Liver Diseases Using a Deep-Learning Approach Based on Ultrasound RF-Data". Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/clinical/NCT06317181. Licensed CC0.

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