Computational design and engineering are revolutionizing modern medicine, providing unparalleled precision and personalization in disease diagnosis and treatment. These advances enable patient-specific care, crucial in specialties like pediatric cardiology. The integration of these technologies not only betters clinical outcomes but also boosts patient safety and operational efficiency. They allow detailed human body modeling and extensive clinical data processing, paving the way for safer procedures and well-informed medical decisions. Overall, computational design and engineering are steering healthcare towards an era of heightened precision and patient-focused care.
Frankie® is a groundbreaking tool in pediatric cardiology, leveraging computational design for tailored treatments. It creates personalized cardiac models from echocardiography data, enabling accurate determination of the optimal occluder size and type for each child. This method notably reduces radiation exposure and is vital for the precise treatment of young patients, whose cardiac anatomy requires delicate handling. Additionally, Frankie® validates computational model measurements against echocardiographic data, ensuring accurate and secure medical interventions
This application turns 2D ultrasound images into 3D models, avoiding radiation exposure. It provides clinicians with a detailed, accurate representation of the patient's anatomy, enhancing diagnosis and treatment planning. This technology merges the simplicity of ultrasound with advanced 3D visualization, offering a safer and more comprehensive imaging solution.
This application uses artificial intelligence (AI) to assist in clinical decision-making. It processes patient data to suggest diagnoses and treatments, enhancing accuracy and efficiency. The AI reduces human error and ensures consistency with current medical standards. It's particularly useful in complex cases, providing insights that support clinicians' expertise, leading to safer and more effective patient care.
This feature facilitates the selection of the precise medical device for each patient using VR and 3D data. It helps clinicians choose devices that perfectly match the patient's specific anatomical requirements.
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