Disease-Detecting Smartwatches

Apple Watch's New Technology Can Detect an Abnormal Heart Rhythm

Smart technology is getting even smarter with Apple's introduction of its new disease-detecting smartwatch, which can detect an abnormal heart beat with up to 97% accuracy.

According to a study conducted through the University of California San Francisco, Apple Watches have successfully detected abnormal heart rhythms when paired with an AI-based algorithm and an app, Cardiogram. The 6,158 participants in the study were recruited through Cardiogram. Most participants had a normal EKG reading, but 200 individuals claimed to have been diagnosed with an abnormal heartbeat. Engineers and researchers then used the Apple watch app and technology to develop a system for detecting the abnormal heart rhythms.

Researchers are now using the success of the study to begin exploring the possibility of early stroke detection. Disease-detecting smartwatches are perfect examples of smart technology being utilized for life-altering or saving practices, not just entertainment or convenience.

Disease-detecting Smartwatches
Smartwatches with disease-detecting capabilities offer disruptive innovation opportunities for the healthcare industry.
AI-based Algorithms
AI-based algorithms used in detecting abnormal heart rhythms present disruptive innovation opportunities for healthcare technology companies.
Early Disease Detection
Early disease detection through smartwatches opens up disruptive innovation opportunities for the medical and wellness industries.

Where This Applies

Healthcare
The healthcare industry can leverage disease-detecting smartwatches to revolutionize patient monitoring and improve early diagnosis.
Technology
Technology companies have the opportunity to develop and refine AI-based algorithms for disease detection in smartwatches, disrupting the wearables market.
Wellness
The wellness industry can incorporate early disease detection smartwatches into their offerings, providing proactive health monitoring solutions to consumers.
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