Improve 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.
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Horus 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.
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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.
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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.
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