Dementia poses major challenges to healthcare worldwide. Traditional diagnostics rely on lengthy assessments, and access to specialist clinicians is limited. Large language models (LLMs), like Generative Pre-trained Transformer 4 (GPT-4) present new avenues for enhancing dementia diagnosis and care through advanced language processing. Whilst research into their applications is in its infancy, LLMs can harness vast datasets and powerful algorithms, with significant potential to enhance diagnostic accuracy in dementia, monitor symptom progression, and provide personalised care recommendations. While dementia serves as the primary example, the ethical and practical considerations discussed are applicable to the wider use of LLMs across different areas of medicine. This review explores the prospect of LLMs transforming dementia management and addresses the ethical and practical considerations involved.

In this lecture, Professor Selina Wray shows how stem cell models reveal early Alzheimer's changes using patient neurons and how this may help the development of new treatment. About the…

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Scientists have visualized the brain’s hidden heartbeat, unlocking new clues to aging and Alzheimer’s. Scientists at the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI)...

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A startling new study reveals that many world leaders with access to nuclear weapons were suffering from serious health issues—including dementia, depression, strokes, and addiction—while still in...

Providing care for people living with dementia at home can be challenging. Stress, burnout, and frequent staff changes among care workers affects the quality of care. Research shows that matching care...

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