PMcardio — AI ECG Interpretation & Diagnosis
PMcardio is an AI-powered medical device for interpreting ECGs and diagnosing cardiovascular disease for clinicians
PMcardio is an AI-powered medical platform designed to help healthcare professionals interpret ECG results with clinical accuracy in seconds. This specialized tool is built for general practitioners, emergency responders, and hospital staff who need immediate diagnostic support for cardiovascular conditions. By utilizing advanced algorithms, the software can identify 38 different cardiovascular diseases from a standard 12-lead ECG image, significantly reducing the time required for manual analysis. The platform functions by allowing clinicians to digitize paper-based ECGs using a smartphone camera. Once uploaded, PMcardio provides a triaged report and evidence-based treatment recommendations tailored to the specific patient case. This reduces the risk of human error during high-pressure situations and ensures that patients receive the correct level of care immediately. For medical practices listed on surfai.app, this tool serves as a critical decision-support system that bridges the gap between general practice and cardiology specialization. Beyond detection, the system assists with patient management by providing clinical guidelines for every diagnosis it identifies. It streamlines the entire referral process by standardizing how cardiac data is recorded and shared across departments. The application is certified as a Class IIb medical device under the EU MDR, ensuring it meets strict safety and performance standards for clinical environments in 2026. PMcardio offers a freemium model where users can access basic digitization features or subscribe for full diagnostic reports and treatment guidance.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Apple Health, Google Fit, HL7 FHIR, Epic EHRs, Cerner |
| Best for | general-practitioners, emergency-doctors, hospital-administrators, medical-clinics |
| Website status checked | 2026-10-23T12:02:29.416+00:00 |
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