About this event

  • Date and time Thu 10 Oct 2024 from 9:00am to 5:00pm
  • Location Online
  • Organised by Comparative Medicine

Join us for this insightful discussion as we explore the use of AI applications in healthcare and the potential ethical implications arising from the use of this technology. This meeting intends to be a fascinating exploration of a rapidly expanding field that aims to improve and streamline healthcare.

Participants will be provided with examples of latest trends for the use of AI across the health professions and delve into how it is regulated to protect patients whilst aiding clinicians. Hear from speakers from across human and veterinary medicine as they present currently used or developing AI technologies for monitoring, diagnosing and assisting with the treatment of disease.

By providing a comparative view of this technology, we hope to draw inspiration from the different professions, appreciate how the use of AI is being approached in human and veterinary healthcare, and discuss its potential future impact across healthcare of all species.

Benefits of attending

  • Discover current applications of AI in veterinary and medical care on topics including camera monitoring for preventative healthcare assessment and diagnostic imaging for identification of disease and treatment planning.
  • Consider both advances and shortcomings in the use of AI as a medical tool today and the ethical and regulatory implications of these tools.
  • Explore the differences and similarities between medical and veterinary uses of AI and draw inspiration from each field. 

The aim of this meeting is to provide examples of latest trends for the use of AI across the health professions and to facilitate discussion between medical and veterinary professionals on the proposed benefits, risks and ethical concerns of using AI tools in the modern healthcare setting.

 

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Tickets

Standard pricing available until 10 October 2024.

Member

RSM Fellow RSM Associate RSM Retired Fellow RSM Trainee RSM Student
£72.00 £43.00 £43.00 £43.00 £23.00

Non - Member

Consultant / GP / SAS Doctors AHP / Nurse / Midwife Trainee Student
£132.00 £79.00 £79.00 £41.00

Agenda

View the programme 10 October 2024

Welcome and introduction

Chair: Dr Julien Labruyère, Specialist in veterinary diagnostic imaging and Director of VetCT

Using video cameras and AI to link changing behaviours to early disease detection in cattle

Professor Andrew Dowsey, Chair in Population Health Data Science, University of Bristol

Using 3D cameras and AI to observe the sleep phenotype in older and younger participants

Professor Kevin Wells, Professor of AI in Human and Animal Healthcare, University of Surrey

Panel discussion
Comfort break

Welcome back
Detection of Canine Chiari malformation using MRI and camera modelling

Professor Clare Rusbridge BVMS PhD DECVN FRCVS,

Professor of Veterinary Neurology, University of Surrey and Senior Neurologist, Wear Referrals Specialist and Emergency Veterinary Hospital

AI-assisted clinical workflows in nuclear medicine and molecular imaging

Dr Julien Willaume, Vice president of Science and Research, Mirada Medical

Panel discussion
Lunch break

Introduction

 Chair: Dr David Danson, Past President, Comparative Medicine Section, Royal Society of Medicine

Ethical use of AI in human healthcare – overview of regulations and guidelines

Anna Jackson, Director, Global Privacy Assurance, Fresenius Medical Care

Ethics, regulation and the state of AI in veterinary medicine

Speaker TBC

Comfort break
Ethics panel discussion - All speakers invited back
Close of meeting

Location

Online

Registration for this webinar will close 1 hour prior to the start time. You will receive the webinar link 1 hour before the meeting. Late registrations will not be accepted.

Webinar recordings will be available for registered delegates up to 60 days after the live webinar, via Zoom. The link will be sent 24 hours after the webinar takes place.

This webinar will be recorded and stored by the Royal Society of Medicine and may be distributed in future on various internet channels.