MyRythm
MyRythm an ECG Machine, portable device for heart monitoring. Unlimited ECG tests at home or clinic using your smartphone.
Electrocardiograms (ECGs) are used by physicians to record, monitor, and diagnose the electrical activity of the heart.
- 3 Lead ECG
- 12 Lead ECG
- Simple and Easy to Use
What MyRythm can do in healthcare
Improve data protection and minimize paperwork
Most security disasters in the healthcare industry are caused first by human error and misuse and physical theft and hacking second. Electronic Health Records or EHRs not only structure patient information but also allow for safe access and more personalized care.
Increase diagnostics accuracy
In the US alone, over 12 million patients are misdiagnosed annually. Deep learning applied to healthcare can radically improve that statistic: Instead of following a routine checklist, healthcare professionals can benefit from the informative by-product of algorithms that can read data using computer vision,
Boost clinical performance
Running any medical facility is a complex, multi-faceted undertaking rife with the possibility of making unfortunate decisions. The obvious, well-documented risk level is high. Data-driven software provides clinicians with the opportunity to make better sense of their data – schedule more efficiently, create
Forecasting system on pharmacological reactions
Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is difficult to identify all possible ADRs of a drug before it is marketed. We developed a new model based on data mining technology to predict potential ADRs based on available drug data.
- Databases and KG construction
- Prediction model
- KG embedding
- Model evaluation
“I knew that if I failed I wouldn’t regret that, but I knew the one thing I might regret is not trying.”
Jeff Homann
AI Lab Founder and CEO
Why MyRythm?
Optimization for Healthcare Insurance companies
Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.
Payers manage risk
Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.
AI to optimize health
AI and machine learning move from a custom and reactive approach to more standardized and proactive management of patient care.
