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</html><thumbnail_url>https://marylandreporter.com/wp-content/uploads/2025/04/woman-2197947_640.jpg</thumbnail_url><thumbnail_width>640</thumbnail_width><thumbnail_height>427</thumbnail_height><description>Behind the simple interfaces of today&#x2019;s sleep-tracking apps lie sophisticated machine-learning algorithms analyzing your nightly movements, sounds, and patterns. While not diagnostic tools, these AI systems flag concerning patterns with increasing accuracy. These applications gather facts about sleep while simultaneously scanning for disorder indicators that previously required laboratory equipment to detect. The Technical Architecture of [&hellip;]</description></oembed>
