AI Revolution in Alzheimer's Care
Leveraging Large Language Models for Neurodegenerative Disease Management
This research introduces a practical framework for integrating large language models (LLMs) into Alzheimer's disease diagnosis and care, addressing critical healthcare system bottlenecks.
- Streamlined Clinical Workflow - LLMs automate data collection, enhance clinical notes, and generate standardized assessments
- Improved Diagnostic Efficiency - AI tools assist with interpretation of medical data and early detection of disease markers
- Care Coordination - Framework enables better patient monitoring and communication between specialists
- Practical Implementation - Focus on verifiable AI insights that clinicians can validate, unlike "black box" approaches
This work addresses the growing gap between limited neurological care resources and increasing patient needs, offering healthcare systems immediately applicable solutions for neurodegenerative disease management.