Article

Generative Large Language Models in the Clinical Management of Alzheimer’s Disease and Mild Cognitive Impairment

2026-05-19

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Dementia affects over 55 million people worldwide. Mild cognitive impairment (MCI) often precedes Alzheimer’s disease (AD). Clinical management requires integrating uncertain evidence from neuropsychological testing, neuroimaging, and biomarkers. Large language models (LLMs) also generate probabilistic outputs, but whether they can reliably support diagnostic,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1b8514aa-b11e-575c-ac47-d97be5ce9e63
DOI: 10.21203/rs.3.rs-9743649/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generative Large Language Models in the Clinical Management of Alzheimer’s Disease and Mild Cognitive ImpairmentDOI 10.21203/rs.3.rs-9743649/v1Read

Large Language Models in Clinical Neurology: A Systematic ReviewSemantic proximity Read

Large Language Models for Cardiovascular Disease, Cancer, and Mental Disorders: A Review of Systematic ReviewsSemantic proximity Read

Generative AI in Medicine and Healthcare: Moving Beyond the ‘Peak of Inflated Expectations’Semantic proximity Read

An interdisciplinary, randomized, single-blind evaluation of state-of-the-art large language models for their implications and risks in medical diagnosis and managementSemantic proximity Read

Evaluation of a speech-based AI system for early detection of Alzheimer’s disease remotely via smartphonesSemantic proximity Read

Agentic Generative Artificial Intelligence System for Classification of Pathology-Confirmed Primary Progressive Aphasia VariantsSemantic proximity Read

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health recordsSemantic proximity Read

Domain-adapted language model using reinforcement learning for various dementiasSemantic proximity Read

Large Language Models in Alzheimer’s Care: Clinical Use Cases, Safety Challenges, and Implementation PathwaysSemantic proximity Read

Artificial intelligence based detection of early cognitive impairment using language, speech, and demographic features: Model development and validationSemantic proximity Read

ConfidentNeuro: Conformal Prediction-Based Uncertainty Quantification for Hallucination Risk Scoring in LLM-Assisted Alzheimer's Clinical Decision SupportSemantic proximity Read

Artificial intelligence based detection of early cognitive impairment using language, speech, and demographic features: Model development and validationSemantic proximity Read