Dozee AI-Based Early Warning System

A predictive analytics system that monitors patient data and alerts clinical staff to early signs of deterioration. It uses artificial intelligence to analyze vital signs and clinical indicators for proactive intervention.

Risk assessment platform that analyzes vital sign data for early detection of clinical deterioration. Provides automated alerts stratified by severity with protocol-guided intervention recommendations.

An AI-powered alert system for chronic disease management that enables dynamic patient status perception and rapid response. Provides real-time notifications for critical events such as severe hyperglycemia or hypoglycemia with automated escalation protocols.

An AI-based intelligent care system that uses machine learning models and real-time design capabilities. The system can be expanded with additional AI models to detect various types of abnormal behaviors beyond the standard ones, allowing for detection of more comprehensive anomalous behavioral patterns tailored to specific early warning detection needs.

An artificial intelligence platform designed for early detection and management of dementia using advanced AI algorithms. The platform helps identify cognitive decline at early stages to enable timely intervention and treatment.

An AI-powered care nursing system designed to monitor elderly individuals and prevent falls. The system uses wearable devices worn during daily activities and employs AI-based analysis of human posture and body movement to detect abnormal behaviors comprehensively. It can identify specific fall risks and provide early warnings to caregivers, addressing the need for 24-hour monitoring of elderly care patients.

An integrated AI-based medical monitoring solution for nursing hospitals, general hospitals, and home care settings. The system uses deep learning-based real-time video analysis to monitor patient behavior patterns, predict fall risks, detect bed exits, and manage pressure ulcer prevention. It provides 24-hour automated surveillance with infrared night vision support, generates real-time alerts within 1 second, and integrates with existing Hospital Information Systems (HIS) and Electronic Medical Records (EMR) for comprehensive patient safety management.

An artificial intelligence system that monitors patient health metrics and vital signs continuously, providing real-time analysis and alerts to medical professionals. The system assists in early detection and prevention of medical emergencies.

AI-based diagnostic tool for early detection and identification of dementia-related complications in brain imaging. The system enables rapid analysis of large patient populations where early intervention is critical before significant neuronal loss occurs.

3D depth sensing and AI-based system for detecting patient falls, abnormal behaviors, and safety incidents in care facilities without requiring wearable devices, with real-time alerts to caregivers.

AI-powered software that identifies risky behaviors in elderly individuals through continuous monitoring. The system analyzes patterns and alerts caregivers to potential safety concerns before incidents occur. Designed for implementation in home care and assisted living settings.

An AI-powered safety monitoring system designed for healthcare facilities. It utilizes artificial intelligence, human body temperature measurement devices, and measurement technology to establish a comprehensive safety knowledge system across all areas of medical facilities. The system enables automated management and monitoring capabilities for safety personnel to conduct safety management work in the first response.