Big Data Meets AI: Transforming Dementia Detection Using Documentation

Author

Abdul Moeed

Published On

August 30, 2024

Read Time

8 minutes

Scottish researchers are pioneering a groundbreaking project to transform dementia diagnosis. They’re developing a tool using AI to analyze brain scans and identify individuals at risk of dementia.

Experts from the Universities of Edinburgh and Dundee are leveraging a decade’s worth of CT and MRI scan data. This massive dataset spans from 2008 to 2018, providing a robust foundation for their AI model.

The Power of Big Data in Early Detection

The SCAN-DAN methodology examines brain scans and health records to detect early signs of dementia and Alzheimer’s. Researchers aim to create a tool allowing radiologists to assess dementia risk during routine scans.

With 1.6 million images, this study is potentially the largest of its kind. The data is securely managed in the Scottish National Safe Haven, balancing research needs with patient privacy.

A Global Collaborative Effort

SCAN-DAN is part of NEURii, a worldwide initiative uniting pharmaceutical companies, universities, and health organizations. This collaboration not only funds research but also tackles implementation challenges in digital health.

Project leaders Professor Will Whiteley and Professor Emanuele Trucco are optimistic about developing new dementia care solutions. They believe this research will lead to earlier interventions and more effective treatments.

Transforming Healthcare Diagnosis

dementia detection & documentation

While SCAN-DAN focuses on early dementia detection through brain scan analysis, HealthOrbit’s Copilot transforms day-to-day clinical interactions by acting as an AI assistant. It enhances healthcare documentation through real-time voice recognition, integrating with the Electronic Health Records (EHR) systems, boosting productivity while maintaining accuracy.

The Future of AI in Healthcare

With backing from major partners like Eisai and Gates Ventures, NEURii is pushing the boundaries of medical innovation. SCAN-DAN aims to create applications that seamlessly integrate with existing healthcare systems.

Dr. Ricardo Sáinz Fuertes, a digital health expert, emphasizes the potential of projects like SCAN-DAN. He predicts these initiatives will accelerate the development and market entry of effective healthcare solutions.

HealthOrbit: Driving Change in Medical Practices

HealthOrbit focuses on creating solutions that are both change-driven and change-centered. Our technology ensures patient data security, complying with HIPAA and GDPR standards.

By integrating AI into routine medical activities, HealthOrbit is revolutionizing healthcare professionals’ work styles. This mirrors SCAN-DAN’s goal of transforming dementia care practices through innovative technology.

Sources

NEURii: New Global Collaboration to Transform Dementia Care. Edinburgh Innovations, 1 July 2024, edinburgh-innovations.ed.ac.uk/news/neurii-new-global-collaboration-to-transform-dementia-care.