Clinical trials: Ultrasound Image Interpretation, open to volunteers
Ultrasound Image Interpretation
Artificial Intelligence-aimed Point-of-care Ultrasound Image Interpretation System
This proposal is for an one-year project. In this project, we aim to investigate the feasibility of using AI for sonographic image interpretation.
- Trial name
- NCT04876157
- Testing
- Artificial intelligence-aimed point-of-care ultrasound image interpretation system
- Where
- Taiwan
- Volunteers
- 300 people
- Sponsor
- National Taiwan University Hospital
Intensive Care Units, Neonatal, Infant, Newborn
Heterogeneity Index in Neonatologist-performed Lung Ultrasound in Neonates Receiving Respiratory Support - a Pilot Study
Lung ultrasound is an increasingly valuable diagnostic tool in neonatal intensive care due to its safety and accessability. This pilot study investigates whether a quantitative approach - the heterogeneity index, previously only…
- Conditions
- Intensive Care Units, Neonatal, Infant, Newborn, Infant, Premature, Point-of-Care Systems
- Trial name
- NPLUS HI (NCT07117513)
- Where
- 2 sites in Austria
- Volunteers
- 40 people
- Sponsor
- Medical University of Graz
Breast Neoplasms, Breast Diseases
Construction of a Benchmark for Breast Ultrasound AI Interpretation and Performance Evaluation of Multimodal AI Models
This single-center, retrospective, observational study aims to construct a standardized benchmark evaluation system for intelligent breast ultrasound image interpretation and to systematically assess the diagnostic performance of…
- Conditions
- Breast Neoplasms, Breast Diseases, Ultrasonography
- Trial name
- BUST-AI Bench (NCT07500428)
- Testing
- Multimodal AI Model Diagnostic Evaluation
- Where
- China
- Volunteers
- 1,380 people, healthy volunteers welcome
- Sponsor
- Peking Union Medical College Hospital
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.