On-demand course
AI in Orthopaedics conference
Recorded: 27 September 2022
Overview
Please note, this on-demand course solely consists of recorded sessions from the live conference that took place on 27 September 2022 and is not interactive. All talks and associated documents were correct at the time of recording. On-demand courses cannot be purchased on behalf of someone else; before purchasing please log into the ORUK account that requires access to the course materials.
On-demand courses are non-refundable. You will have access to the content for 12 weeks from date of purchase.
Format
AI in orthopaedics…how we unlock the power of AI & big data for the benefit of orthopaedic patients and the NHS.
This was the first national conference dedicated to the role of AI within orthopaedics!
It was designed to cut through the hype and focus on practical ways in which AI, underpinned by Big Data, can be used to benefit patients and the NHS. Speakers included senior clinicians, researchers and technologists actively involved in AI projects within orthopaedics, plus NHS leaders and policy makers.
It provided an opportunity for the wider MSK community to share best practice and identify solutions to common problems.
What's included?
Welcome to the Royal College of Surgeons of England
AI in orthopaedics: Will it help? What are the challenges?
Realising the benefit of big data and AI for patients
Where we are in NHSE with AI and machine learning
Symposium 1 panel discussion: An overview of where we are
Machine learning: A gentle introduction
How AI and big data can enhance the monitoring of implants
Strategies to combine robotic and real world data, utilising AI to deliver optimised care and outcome
Symposium 2 panel discussion: What are we talking about? The analysis of big data
Machine learning and evaluating hip replacements
Machine learning and hip fractures
Machine learning in genetics and explant analysis
The NHS AI Lab - Supporting the safe deployment of AI in medical imaging
Symposium 3 panel discussion: Machine leaning and images
The legal landscape when it comes to using data
Understanding worldwide MSK data silos?
NIHR and the part it can play
Symposium 4 panel discussion: Data availability and funding
Using AI in primary hip and knee arthroplasty to support high volume low complexity pathways and tackle the elective backlog
Automated identification of orthopaedic implants on radiographs using AI
A software system to automatically assess hip migration in children with cerebral palsy
Machine learning for wrist fracture detection based on x-ray images
Machine learning models to predict mortality and revision risks using the largest two hip registries
Development of a supervised learning algorithm that incorporates spinopelvic mobility for predicting impingement in patients undergoing total hip arthroplasty
Smart templates to Inform personalised transtibial prosthetic socket design
MoveR - Edinburgh Movement and Rehabilitation Digital Health and Care Hub
Symposium 5 panel discussion: What is already happening in MSK
Microsoft, AI and healthcare
Using AI and digital twins to transform patient outcomes
Amazon
Symposium 6 panel discussion: Where do the big players fit within AI and orthopaedics?
Pulling it all together
How the NHS is opening up access to health data
Practical reality
Symposium 7 panel discussion: Moving forward
Integrating AI and big data into ORUK’s research and education strategy
A message for all of us who look after patients with MSK problems
Join our movement