Optimize patient management and resource allocation in mental health services with Mental Health Triage. Our innovative tool, powered by Machine Learning, classifies patients according to their characteristics, severity and clinical needs, providing an efficient and effective approach to prioritizing mental health care and providing patients with personalized mental services based on their needs.
Patient classification: categorize patients into different groups according to their mental health characteristics, severity and clinical requirements, using machine learning techniques.
Efficient resource allocation: Prioritize patients according to their level of urgency, ensuring that those with the greatest need receive timely care.
Personalized mental services: personalize mental care by employing machine learning models to detect the most optimal choice of mental services for each individual.
Integration with the Ifeel application: Developed in collaboration with Ifeel, a leading emotional wellness company, Mental Health Triage integrates seamlessly with the Ifeel application for comprehensive mental health service assignment.
Simplified access to care: ensure efficient and equitable access to mental health services by optimizing patient flow and reducing waiting times.
*This project was carried out in collaboration with Ifeela leading company in emotional wellness, for its integration into Ifeel's app for mental health services.
Monitor and improve hydration levels with Horus Hydro, a cutting-edge solution that leverages wearable sensors and machine learning technology. Stay hydrated and protect your health with our customized hydration tracking system.
Read moreHorus Echonet is a product based on Deep Learning techniques that uses a three-dimensional convolutional neural network architecture model for video classification. This model is applied to echocardiography to semantically segment the left ventricle and to assess cardiac function by calculating the left ventricular ejection fraction or LVEF.
Read moreImprove patient care with Deep Horus, a revolutionary solution that uses machine learning, including deep learning, techniques to diagnose respiratory disease, predict mortality risk and assess the likelihood of ICU admission based on CT scans and, optionally, other patient data. Provide healthcare institutions with accurate and personalized information to improve patient outcomes.
Read more