DeepRhythmAI is a cloud-based AI software that analyzes two-lead ECG data to detect cardiac arrhythmias in adult patients. It integrates with ambulatory ECG devices like Holter monitors and cardiac telemetry systems to help healthcare professionals review and confirm arrhythmia diagnoses, providing supportive information alongside clinical knowledge.
DeepRhythmAI is a cloud-based software for the assessment of cardiac arrhythmias using two lead ECG data in adult patients. It is intended for use by healthcare solution integrators to build applications enabling qualified healthcare professionals to review and confirm analytic results. The product supports data from ambulatory ECG devices such as Holter monitors, event recorders, and outpatient cardiac telemetry. Interpretation results are advisory and not the sole means of diagnosis.
The software is cloud-based and uses a scalable API for integration. Its core component is an automated proprietary deep-learning algorithm that measures and analyzes ECG data to provide supportive information for healthcare professionals. It lacks a user interface, relying on integration with external visualization software for ECG review and reporting.
The algorithm underwent performance evaluation according to recognized consensus standards ANSI/AAMI EC57:2012 and ANSI/AAMI/IEC 60601-2-47:2012/(R)2016. Testing included validation against a proprietary database with a large number of relevant patient ECG recordings to ensure accuracy and robustness. The software development followed ANSI/AAMI/IEC 62304 and FDA guidance for software validation. Testing confirmed it meets intended use safely and effectively.
No predicate devices specified
Submission
4/30/2024
FDA Approval
12/4/2024
Join hundreds of your peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.
We respect your privacy. Unsubscribe at any time.