AK-AVS
Summary of public USPTO data
- Owner
- AccurKardia, Inc.
- Status
- Live/Registered
- Serial number
- 98978147
- Registration number
- 8318064
- Filing date
- 2024-09-05
- Registration date
- 2026-06-23
- International classes
- 42
Goods and services
Class 42
- Software as a service (SAAS) services featuring software for use in diagnosing and screening patients for heart disease
- Software as a service (SAAS) services featuring software for use in diagnosing and screening patients for aortic stenosis
- Software as a service (SAAS) services featuring software for use in integrating ECG data to detect and diagnose aortic stenosis and to predict risks of developing aortic stenosis
- Software as a service (SAAS) services featuring software for use in the follow-up of patients identified as being at risk for developing heart disease
- Software as a service (SAAS) services featuring software for use in predicting the future onset and severity of aortic stenosis
- Software as a service (SAAS) services featuring software algorithms using artificial intelligence for use in machine learning in the field of detecting, diagnosing, predicting future onset and severity of cardiovascular disease
- Providing online non-downloadable software for use in diagnosing and screening patients for heart disease
- Providing online non-downloadable software for use in diagnosing and screening patients for aortic stenosis
- Providing online non-downloadable software for use in integrating ECG data to detect and diagnose aortic stenosis and to predict risks of developing aortic stenosis
- Providing online non-downloadable software used in the prevention, diagnosis, analysis of heart disease
- Providing online non-downloadable software used in the follow-up of patients identified as being at risk for developing heart disease
- Providing online non-downloadable software for use in the follow-up of patients identified as being at risk for developing heart disease
- Providing online non-downloadable software used to predict the future onset and severity of aortic stenosis
- Providing online non-downloadable software featuring software algorithms using artificial intelligence for use in machine learning in the field of detecting, diagnosing, predicting future onset and severity of cardiovascular disease