Advancing dementia care: exploring the roles of artificial intelligence and machine learning in clinical practice

Author(s):
Chair: Dr Josie Jenkinson, Dr Timothy Rittman, Dr Judith Harrison, Professor Ramin Nilforooshan

Duration:
75 minutes

Credits:
1.25

Published:
June 2024

Type:
Congress webinar 2024

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Overview

This session will explore the transformative potential of advanced technology in the diagnosis and management of dementia. Dr. Timothy Rittman (Consultant Cognitive Neurologist; Senior Clinical Lecturer, University of Cambridge) will explore the use of artificial intelligence and machine learning algorithms for brain imaging data in memory clinics. His presentation will shed light on how these technologies can enhance the accuracy and efficiency of dementia diagnosis and prognosis.

Dr. Judith Harrison (ST5 Old Age Trainee, CNTW NHS Foundation Trust; Academic Clinical Lecturer, Newcastle University) will focus on the application of Large Language Models (LLMs) in clinical settings. She will discuss how LLMs can be harnessed to streamline and enhance diagnostic assessments for dementia.

Prof. Ramin Nilforooshan (Consultant Old Age Psychiatrist, Surrey and Borders Partnership NHS Foundation Trust; Professor in Psychiatry, University of Surrey) will present on the broader applications of AI and machine learning in dementia management. His talk will cover how these technologies can transform dementia care and improve outcomes for people with dementia. 

The session will be chaired by Dr. Josie Jenkinson (Consultant Old Age Psychiatrist, Surrey and Borders Partnership NHS Foundation Trust; Honorary Senior Clinical Lecturer, Imperial College London; current Vice Chair of the Faculty of Old Age Psychiatry at the Royal College of Psychiatrists). She will offer insights into the current state and future directions of technology's role in dementia care.

Objectives
  • Understand the Role of AI in Dementia Diagnosis: Attendees will gain an understanding of how artificial intelligence and machine learning algorithms can be used for interpreting brain imaging data in dementia patients, thereby enhancing diagnostic accuracy and efficiency.
  • Learn about Large Language Models in Clinical Settings: Participants will learn how Large Language Models (LLMs) can be applied in clinical settings to streamline and improve the quality of diagnostic assessments for dementia.
  • Explore Broader Applications of AI in Dementia Care: Attendees will explore how AI and machine learning technologies can be integrated into comprehensive care plans to improve patient outcomes and potentially slow cognitive decline.
  • Gain Insights into Current and Future Trends: The session aims to provide attendees with insights into the current state and future directions of technology's role in dementia care, including ethical considerations and limitations.
  • Enhance Interdisciplinary Collaboration: The session will facilitate networking and encourage interdisciplinary collaboration among neurologists, psychiatrists, and other healthcare professionals interested in leveraging technology for dementia care.
Speakers

Chair: Dr Josie Jenkinson, Surrey and Borders Partnership NHS Foundation Trust, Imperial College London

Dr Timothy Rittman, Cambridge University Hospitals NHS Foundation Trust, Cambridge University, Cambridge

Dr Judith Harrison, CNTW NHS Foundation Trust, Newcastle University, Newcastle

Professor Ramin Nilforooshan, University of Surrey, Imperial College London

 

 

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