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Deep Horus

Advanced Respiratory Disease Diagnosis and Risk Prediction

Enhance patient care with Deep Horus, a revolutionary solution utilizing Machine Learning, including Deep Learning, techniques to diagnose respiratory diseases, predict mortality risk, and assess the likelihood of ICU admission based on CT scans and, optionally, other patient data. Empower healthcare institutions with precise and personalized insights for improved patient outcomes.

Problem solving

Early diagnosis and assessment of respiratory diseases enable healthcare institutions to provide accurate and tailored care to patients, leading to better outcomes.

"Exceptions to the rule" individuals, who do not exhibit clear signs of respiratory issues despite having them, and those with clinically significant severity require specialized attention that may not be evident through conventional methods.

Analysis of lung CT scans can significantly increase the workload of radiologists, and is often  a bottleneck in the clinical care pipeline.

Deep Horus addresses these challenges by employing predictive models based on Machine Learning to allow for automatic real-time  respiratory disease diagnosis and risk prediction based on CT scans and , optionally, other patient data.

Experience the future of respiratory disease diagnosis and risk assessment. Elevate patient care with Deep Horus.

More info

Main features

Machine Learning Diagnosis: Employ cutting-edge Machine Learning models, including Deep Learning, to accurately diagnose various respiratory diseases.

Mortality Risk Prediction: Assess the risk of mortality for patients with respiratory conditions, enabling proactive intervention and personalized care planning.

ICU Admission Probability: Predict the likelihood of ICU admission for patients with respiratory diseases, allowing hospitals to allocate resources efficiently.

Efficiency and Workload Management: Automate CT scan analysis and reduce the burden on radiologists and clinical staff, optimizing resource utilization.

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