# PulseAI

> PulseAI is a medical technology company advancing cardiac diagnostics with AI-powered ECG analysis. Our deep learning algorithms, trained on over 15 million ECGs, deliver medical-grade cardiac diagnostics anytime, anywhere, from smartwatches and wearable patches to 12-lead clinical ECG machines and defibrillators. In an NHS primary care study of 600 patients, PulseAI's Pulse12L algorithm achieved 93.6% sensitivity and 92.0% specificity, compared to 75.6% sensitivity and 71.6% specificity for traditional ECG software. Trusted by the NHS, Beacon Hospital, Basel University Hospital, and Mayo Clinic Platform Accelerate. Based in Belfast, Northern Ireland.

## About

- [Homepage](https://www.pulseai.io/): Company overview, technology, clinical performance data, and partner institutions
- [Our Team](https://www.pulseai.io/team.html): Leadership team including Dr Alan Kennedy (CEO, PhD in machine learning for medical diagnosis), Peter Doggart (CTO, Chartered Engineer), Professor Dewar Finlay (Chief Scientist, Professor of Biomedical Engineering at Ulster University), and Board Chair Dr Justin Mortara (former CEO of Mortara Instrument)

## Our Technology

- [AI ECG Analysis](https://www.pulseai.io/technology.html): Proprietary deep learning models for on-device or cloud-based ECG signal analysis, multi-lead analysis, and pattern recognition trained on 15M+ ECGs. Full statement library of 100+ detectable abnormalities across rhythms, conduction, infarction, ischaemia, hypertrophy, and measurements
- [What PulseAI Detects](https://www.pulseai.io/technology.html#features): Arrhythmia detection, myocardial infarction analysis, automated reporting, and EMR integration
- [Compatible Devices](https://www.pulseai.io/#devices): Works across the entire ECG ecosystem: smartwatches (Apple Watch, Samsung Galaxy Watch), ECG patches, 12-lead monitors, and defibrillators

## Clinical Evidence

- [Publications](https://www.pulseai.io/publications.html): 28 peer-reviewed papers in leading cardiology journals including Heart Rhythm, Circulation, European Heart Journal, and Europace
- [Google Scholar Profile](https://scholar.google.com/citations?hl=en&user=zM-RbGIAAAAJ): Full publication record and citation metrics

## Key Clinical Results

- 93.6% sensitivity vs 75.6% for traditional software (NHS primary care study, 600 patients)
- 92.0% specificity vs 71.6% for traditional software
- 92% reduction in inconclusive results from Apple Watch ECGs (published in Cardiovascular Digital Health Journal)
- Clinical validation of AI-enabled ECG Holter analysis (published in Circulation)
- Clinical validation of automated QTc measurement from single-lead ECGs (published in Europace)

## Our Solutions

- For Health Systems: AI-powered ECG interpretation that seamlessly connects to existing clinical workflows
- For Device Manufacturers: A single AI platform that integrates with any ECG form factor via SDK and API
- For Life Sciences: Advanced cardiac monitoring for clinical trials and drug safety surveillance
- For Consumers: Transforming smartwatch ECG data into clinically actionable insights

## Partners & Institutions

NHS, Beacon Hospital Dublin, Basel Teaching Hospital, Mayo Clinic Platform Accelerate, Ulster University, Mortara Group LLC, InvestNI, Innovate UK, Royal Commission of 1851

## Resources

- [Newsroom](https://www.pulseai.io/media.html): Press coverage, news articles, conference presentations, and features
- [Blog](https://www.pulseai.io/blog.html): Research insights, clinical validation results, and technology updates
- [Careers](https://www.pulseai.io/careers-software-engineer.html): Open positions at PulseAI in Belfast

## Contact

- Email: info@pulseai.io
- [Schedule a Demo](https://www.pulseai.io/#contact)