Healthcare
Discover the transformative power of AI applications in healthcare, reshaping diagnostics, treatment, and accessibility for improved patient outcomes. Leverage AI-driven personalized medicine, telemedicine, and clinical decision support to deliver optimal care tailored to each unique individual. Stay ahead of public health threats, streamline healthcare processes, and expand mental healthcare access, harnessing the potential of AI to revolutionise the healthcare landscape.
Case Study
Augmentive is a state-of-the-art platform removing the practical and emotional friction driving the mental health crisis, by combining human intelligence, artificial intelligence and automation. The technology we developed has facilitated over £1,500,000 of support through the platform and the company has subsequently raised over £1,400,000 in venture capital funding.
Artificial Intelligence for Healthcare
Medical Imaging Analysis
Revolutionise diagnostics with AI-powered medical imaging analysis, enabling early disease detection and improved accuracy. Empower healthcare professionals to make timely interventions for better patient outcomes.
Mental Health Support
Expand mental healthcare access with AI-powered chatbots and virtual therapists. Provide patients with personalized support, coping strategies, and progress monitoring, lightening the load for human therapists.
Automated Medical Transcription
Streamline healthcare processes with AI-driven automated medical transcription, reducing errors and enhancing efficiency. Give healthcare providers more time to focus on what truly matters - patient care.
Methodology
How we turn your idea into your creation.
Data Collection
Gather relevant medical data, such as electronic health records, medical images, or wearable device data, ensuring accuracy, quality, and compliance with privacy regulations.
Model Development
Design, train, and test AI algorithms, utilizing machine learning techniques, to identify patterns and generate insights from the collected healthcare data.
Validation & Optimization
Evaluate AI model performance using various metrics and real-world scenarios. Fine-tune and optimize the model to ensure accuracy, efficiency, and generalizability.
Integration & Deployment
Seamlessly integrate AI models into healthcare systems, tools, or devices to aid healthcare providers in decision-making, diagnostics, and patient care. Monitor performance and maintain models over time.
