Utilizing artificial intelligence (AI) to interpret images from a handheld ultrasound device could have the potential to expedite the detection of heart failure, according to recent research. The study revealed that AI can effectively analyze heart ultrasound images, including those obtained through a handheld device, as accurately as a traditional ultrasound machine operated by an expert. The process, which usually takes around 30 minutes with human analysis, was reduced to just one minute with AI interpretation.
The research comes from the OPERA study, a collaborative effort involving the University of Glasgow, AstraZeneca, NHS Greater Glasgow & Clyde, and NHS Golden Jubilee. The aim of the study was to assess the effectiveness of AI technology in diagnosing heart failure in patients.
Dr. Ross Campbell from the University of Glasgow highlighted the potential benefits of AI in healthcare, emphasizing that accurate AI interpretation of echocardiogram images can expedite early diagnosis of heart failure. The study’s results indicate that AI could significantly improve heart failure diagnosis and reduce waiting times, thereby alleviating pressures on the healthcare system.
With over a million people estimated to be living with heart failure in the UK, the ability to provide early diagnosis and streamlined analysis through AI could have far-reaching implications for patient care. The findings of the study were presented at the European Society of Cardiology Conference in Amsterdam.
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