U.S., June 4 -- ClinicalTrials.gov registry received information related to the study (NCT07000981) titled 'AI-Powered Fall Risk Prediction in Nursing Care' on May 13.
Brief Summary: The goal of this study is to develop a nursing clinical decision support system for fall risk prediction using machine learning and computer vision techniques. The system is intended to offer advantages over traditional scales, including real-time analysis, contactless monitoring, objective evaluation, and personalized risk prediction-ultimately aiming to improve patient safety and reduce complications related to falls in clinical settings.
This study aims to answer the following questions:
Can machine learning models serve as valid tools for fall risk predi...