FDA Radiology AI Devices

The AI-ECG Platform by Shenzhen Carewell Electronics is an AI-powered software that assists healthcare professionals in measuring and interpreting 12-lead resting electrocardiograms (ECGs). It automatically analyzes ECG data, provides diagnostic interpretations for common cardiac abnormalities, and enables physicians to review and modify results. This helps clinicians make more informed cardiac assessments in hospitals and healthcare facilities.

The Zio AT ECG Monitoring System and its ZEUS System component are used for long-term cardiac monitoring by capturing continuous ECG data and analyzing it with AI algorithms to detect arrhythmias. The system helps clinicians by automatically detecting and reporting symptomatic and asymptomatic cardiac events, allowing improved cardiac care and diagnostics.

The Rooti Rx System is a wearable single-lead ECG recording device that allows patients to record ECG data at home or work. The data is stored on the device and later transmitted via Wi-Fi to medical professionals’ iOS devices for post-analysis, aiding clinicians in patient cardiac monitoring and diagnosis.

The Peerbridge Cor System is a wearable ECG monitoring device designed for continuous recording and transmission of heart electrical activity over 24 hours to 7 days. It helps clinicians monitor patients with symptoms like palpitations or dizziness by generating ECG reports based on FDA-cleared algorithms, aiding clinical diagnosis.

The SpectralMD DeepView Wound Imaging System 2.0 is a medical imaging device that uses non-contact photoplethysmography (PPG) technology to capture color images showing blood perfusion in tissues. It helps clinicians assess blood flow in a variety of clinical settings, including wound healing, plastic surgery, and vascular surgery, by providing detailed images of microcirculation in healthy or injured skin.

The CardioLogs ECG Analysis Platform is a software tool that helps qualified healthcare professionals analyze ECG data to assess arrhythmias in adults. It supports uploading ECG recordings from various devices, processes them using a proprietary proprietary algorithm to detect heartbeats and rhythm abnormalities, and provides analysis results as an advisory support to clinicians. This cloud-based platform helps improve ECG interpretation efficiency and accuracy.