“The challenge is that clinicians cannot continuously monitor every bedside,” says Sebastian Goodfellow, an assistant professor in U of T’s department of civil and mineral engineering and a principal investigator at the Lassonde Institute of Mining. These patients require constant monitoring, which places a high demand on hospital staff who are typically caring for other patients at the same time. A heartbeat that is too fast, too slow or chaotic can cause severe complications and death.Īlmost one in three children admitted to an intensive care unit experience a heart rhythm anomaly – at SickKids, this affects as many as 700 children a year. When the heart is functioning as it should, it beats to a regular rhythm – the familiar vertical spike followed by ripples that appear on a heart monitor. “This could help some of our most vulnerable patients, while also reducing stress on the health-care system,” says Mjaye Mazwi, a staff physician at SickKids, associate professor in the department of paediatrics at U of T’s Temerty Faculty of Medicine and research co-lead at the Temerty Centre for Artificial Intelligence Research and Education in Medicine. The innovative approach, which combines specially trained AI with the expertise of SickKids clinicians, could lead to significantly better health outcomes for critically ill children by providing faster and more accurate diagnosis of heart problems, the researchers say, as well as easing demands on clinicians’ time. A unique collaboration between U of T Engineering researchers and hospital physicians is pioneering the use of artificial intelligence – similar to an AI that helps detect earthquakes – to diagnose heart rhythm abnormalities at Toronto’s Hospital for Sick Children.
0 Comments
Leave a Reply. |