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Scientists have developed an artificial intelligence-powered stethoscope that they say could revolutionize the way children with asthma are diagnosed, the BBC reports.
The device, called TRespNET, uses a combination of AI and acoustic data to analyze the sounds of breathing, according to a press release.
"By analyzing the nuanced sounds of breathing, this device goes beyond the capabilities of conventional stethoscopes, detecting subtle irregularities that may elude even the most experienced clinicians," says Dr. Supat Thammasitboon of Children's Hospital Los Angeles, whose team developed the stethoscope.
"With asthma's unpredictable nature, this innovative tool could prove indispensable in identifying exacerbations early, paving the way for timely intervention and, ultimately, better management of this chronic condition," he adds.
The TRespNET, which can be worn on a child's chest or on a person's chest during a physical exam, can identify sounds that indicate asthma, as well as patterns in breathing such as muscle tone and loudness, according to the press release.
"The integration of AI with acoustic data, a synergy that holds the promise of elevating diagnostic precision to unprecedented levels," says Thammasitboon.
"The development of TRespNET, a Convolutional Neural Network tailored for
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Caroline Diehl is a serial social entrepreneur in the impact media space. She is Executive Chair and Founder of the UK’s only charitable and co-operatively owned national broadcast television channel Together TV, the leading broadcaster for social change runs a national TV channel in the UK and digital platform which helps people find inspiration to do good in their lives and communities.
