CarDSScan

CarDSScan delivers research-grade, on-device ECG analysis from the Cardiovascular Data Science (CarDS) Lab. Built for reliability and privacy, CarDSScan runs its machine-learning models entirely on your iPhone—no internet required, no accounts, and no cloud uploads.

Two ways to analyze ECGs

12-lead image mode: Capture or import clear photos of printed or screen-displayed ECGs for fast, on-device analysis.

1-lead Apple Watch mode: Use Health/HealthKit to process Apple Watch ECG signals on device.

Private by design
All inference happens locally on your device. Models are bundled with the app; ECG images, signals, and outputs stay with you unless you explicitly export them.

Developed by CarDS Lab
Models are developed by the Cardiovascular Data Science Lab and have been evaluated across multi-center research datasets. CarDSScan is intended for research use only and is not a medical device.

Key Features

On-device ML inference (offline; no cloud).

12-lead ECG image capture/import with guided framing.

1-lead Apple Watch ECG analysis via Health/HealthKit (with permission).

Clean, professional UI for study workflows.

Fast processing with reproducible outputs.

Optional export for research documentation.

Who It’s For

Research teams, engineers, and clinicians conducting feasibility studies, validation work, or algorithm benchmarking in controlled settings.

Privacy at a Glance

No automatic data collection.

No ads, no trackers, no data sale.

Data stays on device unless you export it.

Requirements

iPhone with camera (iOS 17.6+).

Apple Watch with ECG capability (for 1-lead mode).

Health/HealthKit permissions required for Watch ECG analysis.

Important

CarDSScan is for research use only. It does not provide medical advice and is not intended for diagnosis or treatment. Do not make clinical decisions based on the app’s outputs.