Image recognition-based detection system for preventing accidental dislodgement of head-and-neck medical supplies in ICU patients: A feasibility randomized controlled trial

The study demonstrated that the image recognition-based detection system can function stably in clinical settings, providing accurate and continuous surveillance while supporting the early detection of risk actions. By reducing the observation burden and offering real-time cognitive support, the system complements routine nursing care and serves as an additional safety measure in ICU practice. With further optimization and larger multicenter validation, this approach could have the potential to make a significant contribution to the development of smart ICUs and the broader digital transformation of nursing care.