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Detect an
LVEF < 40%
‍with a simple ECG

Take a photo of a 12-lead ECG and explore patterns associated with left ventricular dysfunction. An R&D AI model designed around the questions raised during preoperative anesthesia consultations.

R&D beta · not CE marked. Experimental results for research use only. Do not use to make a diagnosis, decide on further testing, or change patient care.

5 free ECGs per month per clinician
Upload an ECG now
How it works →
SOLUTIONS

A new approach to preoperative ECGs

A simple workflow for exploring AI ECG analysis in the context of preoperative assessment.

01. Take a photo of the ECG

Take a clear photo showing all 12 leads of your patient’s ECG.

02. Analyze the tracing

The model analyzes the tracing and identifies patterns associated with left ventricular dysfunction.

03. Review the results

Review the results. A model finding neither confirms nor rules out a diagnosis.
OUR PARTNERS

Developed with
‍leading teams

Our partners include leading organizations such as Mayo Clinic, Johns Hopkins, Ramsay Santé, and Quincy Anesthésie.
Mayo Clinic and Arizona State University logoJohns Hopkins logoTechstars logoRamsay Sante logoMayo Clinic logoArizona State University logoIllume logoQuincy logoCornell Tech logoMayo Clinic and Arizona State University logoMACSF logoMayo Clinic and Arizona State University logoTechstars logoIllume logoCornell Tech logo
OUR PUBLICATIONS

AI models trained on more than 200,000 ECGs — manuscripts in preparation.

In partnership with Mayo Clinic.
Diagnostic Accuracy for Low LVEF using AI-based Interpretation of 12-lead ECG in Preoperative Care
PRE-SUBMISSION - 2026
PREOPERATIVE ECG
JAMA Surgery logo
Smartphone-based application for Low LVEF < 40% using AI in Pre-Anesthesia Evaluation
PRE-SUBMISSION -  2026
PREOPERATIVE ECG
Anesthesiology journal logo
Validation of an Automated AI System for 12-lead ECG Interpretation in Preoperative Care
New England Journal of Medicine AI logo
PRE-SUBMISSION - 2026
PREOPERATIVE ECG
Application of an AI-ECG model for Preoperative Cardiac Evaluation and Triage in Non-Cardiac Surgery
British Journal of Anaesthesia logo
PRE-SUBMISSION - 2026
PREOPERATIVE ECG
PRICING

Choose your plan for Hoopcare ECG

Free
Try the beta with email sign-up
5 free ECGs
each month · per clinician
YOUR PLAN INCLUDES
  • 5 ECGs per month, no paid subscription
  • Upload a photo of a 12-lead ECG
  • View results in your workspace
Try 5 free ECGs
Hoopcare ECG Pro · coming soon
For regular R&D evaluation
$149
Early adopter · per year, per clinician
COMING SOON
  • 50 ECGs per month per clinician
  • Your analysis dashboard
  • Your ECG history
Try for free
Organizations · coming soon
For your anesthesia and preop team
From €2,900
planned annual pricing · custom
COMING SOON
  • Unlimited ECG volume
  • Advanced dashboard
  • Support to set up your ECG workflows
Request a demo
OUR VISION

Improve assessment
‍Reduce complications

Upload an ECG now
How it works →
Hoopcare logo
Hoopcare is a medical technology company founded by doctors to make surgery and anesthesia safer.
PATIENTS
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Disclaimers
Please be aware that HSA/FSA eligibility, contribution amounts, rollover provisions, and other key features may change annually and differ between plans. We recommend consulting your plan administrator, HR department, or a qualified tax or financial advisor to understand how these accounts apply to your specific situation. We are not responsible for any errors or changes in regulations that may affect your FSA or HSA benefits.
‍
Hoopcare makes available virtual care management programs for eligible individuals, and works with the following organizations who coordinate to deliver their respective services through the technology solution developed by Hoop Care Inc.: Hoopcare Medical of Florida P.A. and other affiliated professional entities delivering clinical care; wholly owned subsidiaries of Hoop Care Inc. Hoopcare features may change over time. All health records may not be available. ‍Hoopcare is not a medical device and has not been evaluated by the FDA. Please talk to a healthcare provider if you need help.

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