Intensive Care Unit-acquired Weakness research hub
4 indexed studies · 4 currently recruiting
- recruiting
AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness
This study looks at whether artificial intelligence (AI) can use ultrasound scans to find and track weakness that can happen in muscles after a stay in intensive care. It aims to make it easier to spot and monitor this weakness, especially in patients who can't easily communicate.
Germany - recruitingNA
Study Comparing Two Image Acquisition Modalities for Second-trimester Pregnancy Screening Ultrasound (Echo-IA)
This study looks at using AI with ultrasound scans during pregnancy. It compares how well AI helps get clear pictures of the baby to how well doctors do it manually. The aim is to see if AI can make scans better and easier.
France - recruiting
AID-FOG: Artificial Intelligence-Driven Freezing of Gait Detection in the Home
This study looks at using AI and wearable sensors to detect 'Freezing of Gait' (FOG) in people with Parkinson's at home. FOG makes walking difficult and can cause falls. We want to see if our AI technology can spot FOG accurately outside of a clinic.
Belgium · Germany · Israel - not yet recruiting
AI-ECG Accessory Pathway Localisation Study
This study uses a special computer program to help doctors find a faulty electrical connection in the heart, called an accessory pathway. It checks if the program is accurate at pinpointing where this connection is, using information from routine heart checks.
United Kingdom