Looks like you’re on the UK site. Choose another location to see content specific to your location
Artificial intelligence ‘could be used to help predict heart failure’
A new machine learning approach to heart disease monitoring has been shown to be able to predict heart failure.
Scientists from the Medical Research Council London Institute of Medical Sciences have found a way of using artificial intelligence-equipped software to automatically analyse moving images of the heart captured during MRI scans.
Advanced image processing is then used to build a virtual 3D heart to replicate the behaviour of the organ during each beat, drawing from 30,000 points of movement. By feeding historic data from hundreds of previous patients into this model, the tool was able to identify attributes of the heart's shape and structure that put an individual at a given risk of heart failure.
Developed using data from over 250 patients with pulmonary hypertension, the tool has been shown to be up to 80 percent accurate at predicting survival at one year.
Study leader Declan O'Regan said: "This is the first time computers have interpreted heart scans to accurately predict how long patients will live. It could transform the way doctors treat heart patients."
With over 20 years of experience within the service engineering market, we at Zenopa have the knowledge, skills and expertise to help find the right job for you. To find out more about the current service engineering roles we have available, you can search for the latest job roles, register your details, or contact the team today.
We have hundreds of jobs available across the Healthcare industry, find your perfect one now.
Stay informed
Receive the latest industry news, Tips
and straight to your inbox.
- Share Article
- Share on Twitter
- Share on Facebook
- Share on LinkedIn
- Copy link Copied to clipboard