Graduate students from Israel's Technion in Haifa have developed an advanced 'deep learning' computer algorithm that can calculate the chances of developing atrial fibrillation in the next five years - a heart disorder that can lead to critical results.

Shani Bitton and Sheina Gendelman, graduate students at the Technion's Biomedical Engineering Department developed the 'deep learning' algorithm, under the direction of Dr. Joachim Behar, head of the Artificial Intelligence in Medicine Laboratory(AIMLab) at the Technion.

Atrial fibrillation is a heart rhythm disorder that is not immediately life-threatening but significantly increases the risk of stroke and death.

It is now known that certain behaviors such as sedentary lifestyle, smoking and obesity increase the risk of atrial fibrillation,so warning of such a risk may allow a person to take risk-reducing measures and enter a follow-up routine that will allow early detection of the problem.... Read More: Arutz-7