Heart failure’s not always easy to predict. CADence, described in eHNA post, shows how difficult it can be and how eHealth can help. Now, Artificial Intelligence (AI) can help too. It can save lives by identifying patients who need more aggressive treatment, says the UK's Medical Research Council (MRC) team in an article in BBC News. Technology’s advanced so much that AI can now calculate accurately when patients with heart disorders will die. The software can to do this by analysing blood tests and scans of beating hearts to spot signs that show they’re about to fail.
Researchers, at the MRC London Institute of Medical Sciences, were investigating patients with pulmonary hypertension, raised blood pressure in arteries supplying the lungs. Results indicate that high blood pressure in the lungs damages part of the heart, and about a third of patients die within five years of being diagnosed.
The AI software helps doctors to predict how long the patients will live. The data improves informed clinical decisions, leading to more precisely prescribed and individually tailored intensive treatments, such as drugs, injections into blood vessels or in extreme cases, lung transplants if necessary.
The AI was given MRI scans of 256 patients' hearts, and blood test results. The software measured movement of 30,000 different points in the hearts’ structures during each heartbeat. Data was coupled with eight years of patient’s health records. AI learned which abnormalities predicted when patients would die.
It estimated up to approximately five years into the future, with an 80% potential to predict whether people would live beyond a year. This’s a third better than doctors performance of 60% accuracy. Researches want to use AI for other forms of heart failure such as cardiomyopathy, diseased of heart muscles, to see who needs pacemakers or supplementary treatments. They also hope to test AI on other patients in several hospitals to assess whether it should be widely available to doctors.
eHNA’s previously posted about AI revolutionising healthcare. Pulmonary hypertension might be a good place for Africa’s health systems to start.