AI trial to spot heart condition before symptoms.

The use of artificial intelligence within the medical-scientific sphere is a topic we have investigated over and over again in the past, with the technology in question being particularly suited to tasks involving precision analysis, such as checking a patient's data for "red flags" - obviously always accompanied by human supervision.

Recently, scientists and doctors at the University of Leeds and Leeds Teaching Hospitals NHS Trust developed a tool to detect any signs of atrial fibrillation, a heart condition that threatens proper atrial contraction. The tool is currently being evaluated as part of a trial called ‘Find-AF’ - the project is funded by the BHF and the Leeds Hospitals Charity.

The tool in question was developed by building an algorithm capable of taking into account several factors that characterise a prospective patient, such as age, gender, ethnicity and the presence or absence of other medical conditions.