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Artificial intelligence algorithm could help doctors improve accuracy of heart attack diagnosis
An algorithm developed using artificial intelligence could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research from the University of Edinburgh, funded by the British Heart Foundation and the National Institute for Health and Care Research. The effectiveness of the algorithm, named CoDE-
ACS, was tested on 10,286 patients in six countries around the world. Researchers found that, compared to current testing methods, CoDE-ACS was able to rule out a heart attack in more than double the number of patients, with an accuracy of 99.6 percent.
App could help GPs with referrals of skin cancer
Researchers at the University of South Wales (USW) are working to develop an app that could help streamline the diagnosis of skin cancer. Led by associate professor, Dr. Janusz Kulon, the USW team, in collaboration with Cardiff and Vale University Health Board, have been using artificial intelligence to help analyse anonymised data collected from NHS patients. “With this data, the artificial intelligence
system has been able to learn what to look for, to highlight any features that are clinically important, and then to flag this to the medical staff,” commented Dr. Kulon. The project looked at a variety of techniques
which can characterise clinically important features - such as shape, colour, asymmetry, border irregularity and dermoscopic structures of the lesions - which can offer tell-tale signs of any malignant growths. By taking regular images of the lesions, any
changes can be flagged to help ensure concerns are raised with the specialists. “We are not creating another medical black
box but a fully interpretable AI algorithm to support diagnostic assessment. When it is developed, the app would be a tool which supports the specialists in their work, an extra pair of eyes which can help to make the diagnosis system more efficient,” Dr. Kulon continued.
While the concept behind the app has been
developed, more work is needed to ensure it is able to be used in the real world.
scan me to find out more This ability to rule out a heart attack faster than
ever before could greatly reduce hospital admissions. Clinical trials are now underway in Scotland with support from the Wellcome Leap, to assess whether the tool can help doctors reduce pressure on our overcrowded Emergency Departments. As well as quickly ruling out heart attacks in patients, CoDE-ACS could also help doctors to identify those whose abnormal troponin levels were due to a heart attack rather than another condition. The AI tool performed well regardless of age, sex, or pre-existing health conditions, showing its potential for reducing misdiagnosis and inequalities across the population.
Professor Sir Nilesh Samani, medical director of the British Heart Foundation, said: “Chest pain is one of the most common reasons that people present to Emergency Departments. Every day, doctors around the world face the challenge of separating patients whose pain is due to a heart attack from those whose pain is due to something less serious. “CoDE-ACS, developed using cutting edge data
science and AI has the potential to rule-in or rule- out a heart attack more accurately than current approaches. It could be transformational for Emergency Departments, shortening the time needed to make a diagnosis, and much better for patients.” The article was published in Nature Medicine.
4x10ml of blood, collected and loaded for testing within 4 hours saves lives
“We took the right amount of blood, delivered and loaded onto the analyser within 4 hours... we helped save a life”
Blood Culture Pathway
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