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 and no cloud uploads.

Two ECG analysis engines

ECG-Vision ATTR: Capture or import clear photos of printed or screen-displayed ECGs for fast, fully on-device analysis.

ECG-GPT: A transformer-based ECG interpretation model designed for research-grade signal understanding. ECG-GPT runs locally on your device and may require approval for access.

Private by design All inference happens locally on your device. ECG images and outputs stay with you unless you explicitly export them. Certain advanced models may be downloaded after approval.

Developed by CarDS Lab Models are developed by the Cardiovascular Data Science (CarDS) 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 processing)

12-lead ECG image capture and import

ECG-Vision ATTR CNN model and

ECG-GPT transformer-based model for research workflows

Secure model download for approved users

Clean, professional UI designed 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, and 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 or later)

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.