Large Language Models: A Paradigm Shift for Dementia Diagnosis and Care

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.

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Publication Details

Journal
British Journal of Hospital Medicine
Published
2025-10-09
DOI
https://doi.org/10.12968/hmed.2024.0666
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
Controls
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article

Large Language Models: A Paradigm Shift for Dementia Diagnosis and Care

J. Harrison, Betty Burston, Huizhi Liang, John‐Paul Taylor et al.
2 citations
British Journal of Hospital Medicine
Artificial Intelligence in Healthcare and Education
1.31
article

Large Language Models: A Paradigm Shift for Dementia Diagnosis and Care

J. Harrison, Betty Burston, Huizhi Liang, John‐Paul Taylor, Shoufeng Tang, Alexander Robertson
article en
2 citations

Abstract

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.

British Journal of Hospital MedicineVol. 86(10)
Hertfordshire Partnership University NHS Foundation Trust (GB), Newcastle University (GB)
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
1.31
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