Discover how we're revolutionizing healthcare through innovative AI and ML solutions
Developed at Queen Margaret University, this innovative research project leverages AI and machine learning to revolutionize the management of foot drop, enhancing shared decisionmaking and patient-centered care.
Traditional methods for assessing and managing foot drop lack the precision and personalization that modern technology can offer.
Our AI-assisted system predicts gait biomechanics metrics to aid in foot drop management decisions.
Advanced ML algorithms analyze gait patterns to provide precise biomechanical measurements.
Intelligent system assists healthcare providers in making informed treatment decisions.
Utilizes video from smart devices to analyze gait biomechanics.
Validated against the industry-leading VICON system for gold standard accuracy.
Our Learning Simulation APP represents a groundbreaking advancement in medical education, leveraging the power of artificial intelligence (AI) and augmented reality (AR) to transform how healthcare professionals learn and practice.
Medical students and healthcare professionals can engage with highly realistic virtual patients, simulating real-life clinical scenarios.
Advanced AI algorithms create dynamic, responsive patient cases that adapt to the learner's decisions and actions.
AR technology overlays digital information onto the physical world, allowing for immersive, hands-on learning experiences.
AI provides immediate, personalized feedback on learner performance, enhancing the educational experience.
Suitable for both classroom settings and independent, self-directed study.
Advanced deep learning system for analyzing medical images, enabling faster and more accurate diagnoses through automated pattern recognition.
Secure, HIPAA-compliant platform for managing and analyzing patient data, featuring real-time analytics and predictive modeling capabilities.
Scalable serverless infrastructure powering healthcare applications, ensuring high availability and optimal performance.
Machine learning model that predicts patient outcomes based on historical data, helping healthcare providers make informed decisions.
Robust multi-cloud architecture designed for healthcare applications, ensuring data redundancy and global availability.
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