Cardiologs provides a cloud-based, vendor-neutral arrhythmia diagnostic software powered by medical-grade AI, capable of detecting over 20 types of arrhythmia events. The platform enhances remote cardiac monitoring by integrating smartwatch ECGs into clinical workflows, making expert cardiac care more accessible and scalable for healthcare professionals worldwide.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IPKDPSFounders
Product
Problem
Cardiac arrhythmia detection often relies on traditional methods that can be time-consuming, require specialized equipment, and may not be easily accessible for all patients, particularly in remote monitoring scenarios. This can lead to delays in diagnosis and treatment, potentially impacting patient outcomes.
Solution
Cardiologs offers a cloud-based arrhythmia diagnostic software solution that leverages medical-grade AI to analyze ECG data and detect over 20 types of arrhythmia events. The vendor-neutral platform integrates seamlessly with existing clinical workflows and supports remote cardiac monitoring by incorporating data from smartwatch ECGs. By automating and accelerating the diagnostic process, Cardiologs aims to improve the scalability and accessibility of expert cardiac care for healthcare professionals globally. The AI-powered algorithms are clinically validated, providing clinicians with intelligent tools to enhance their diagnostic capabilities and improve patient management.
Target Audience
The primary target audience includes clinicians, healthcare professionals, and service providers involved in cardiac care, particularly those seeking to enhance remote monitoring capabilities and improve diagnostic efficiency.
Features
- Cloud-based, vendor-neutral platform accessible from various devices
- Medical-grade AI algorithms capable of detecting over 20 types of arrhythmia events
- Integration with smartwatch ECGs for remote cardiac monitoring
- Clinically validated algorithms for accurate and reliable arrhythmia detection
- Automated analysis and reporting to streamline clinical workflows