Introduction to Large Language Models (LLMs) for dementia care and research.

Area of Science:

• Neuroscience
• Artificial Intelligence
• Gerontology

Background:

• Dementia is a progressive neurodegenerative disorder impacting cognitive functions and daily living.
• Large Language Models (LLMs) represent a significant advancement in artificial intelligence with potential applications across various fields.

Purpose of the Study:

• To analyze the potential applications and usefulness of Large Language Models (LLMs) in dementia care and research.
• To explore how LLMs can enhance understanding, diagnostics, treatment, and overall patient care in dementia.

Main Methods:

• Introduction to LLMs, detailing their features, capabilities, limitations, risks, and deployment considerations.
• Exploration of LLM applications in dementia care domains, focusing on conversational engagement, personalized support, and cognitive enrichment.
• Survey of people with dementia (PwD) and their supporters regarding the usefulness of LLM application scenarios and desired features.

Main Results:

• LLMs offer potential benefits for dementia care, including improved social interaction, enhanced cognitive functioning, increased emotional well-being, and reduced caregiver burden.
• PwD and supporters expressed largely positive views on LLMs in care, with notable concerns regarding data privacy, bias, and transparency.
• Key considerations for LLM deployment include privacy, safety, empirical validation, user-centered design, and ethical guidelines.

Conclusions:

• LLMs hold significant promise for positively impacting dementia care by boosting cognitive abilities, enriching social interaction, and supporting caregivers.
• Further research and development are crucial to fully harness LLM benefits and maximize their potential in improving the lives of individuals with dementia.
• Responsible and ethical deployment of LLMs requires established ethical guidelines and privacy protocols.