- Large Language Model for Understanding and Monitoring Elderly Neurocognition — Recruiting • Neurology • NCT07347431.
- What is being tested: A large language model (AI system) designed to analyse collateral histories from family members and caregivers to help understand and monitor cognitive changes in elderly patients, potentially improving dementia detection.
- Patient eligibility overview: Elderly patients with suspected or established cognitive decline, alongside their family members or caregivers who can provide detailed accounts of observed changes in memory and thinking abilities.
- Quick orientation before opening the registry record.
- Checking recruitment status, phase and sponsor at a glance.
- Connecting this trial to nearby guidelines, Drug Science and education.
Dementia affects millions of people worldwide, and early diagnosis is essential for getting the right care and support. Doctors rely on collateral histories (accounts from family members or caregivers) to understand changes in a person's memory and thinking. However, these histories can be incomplete, unstructured, or difficult to obtain, making diagnosis more challenging. This study will test LUMEN (Large Language Model for Understanding and Monitoring Elderly Neurocognition), an AI-powered conversation tool designed to help caregivers describe their loved one's symptoms more effectively. By asking structured questions and guiding the conversation,…
- Carers of patients attending Memory Clinic appointments; Aged 18 or over; Both patients and cares can provide informed consent; Basic English literacy Clinicians must have at least 2 years of specialist dementia care experience and be personally responsible for dementia diagnosis; Must be provide informed consent
Use the source registry for the full inclusion and exclusion criteria before discussing referral or enrolment.