From CardioWise to your mobile device, it's your heart at your fingertips.
CardioWise, Inc. has developed an advanced Machine Learning (ML) Platform for cardiac imaging. We provide unprecedented new diagnostic insights to physicians by utilizing commonly available clinical images and delivering quantitative, meaningful results via the existing physician workflow. CardioWise ML analyses increase objectivity in decision-making; and improve day-to-day clinical cardiac practice, saving lives, while reducing the cost of care worldwide.
Heart Disease is the leading cause of death. The key to survival is early detection, effective intervention and post treatment monitoring. Since there is no single diagnostic test that can deliver quantitative results to assess heart contractile function, providers have utilized multiple, qualitative surrogate imaging tests to determine the course of treatment. In the US $17 billion are spent yearly on cardiac diagnostic scans, many of which are unnecessary.
Leveraging patented ML software algorithms, CardioWise provides simple, easy-to-use 4D quantitative images of heart function on any mobile device over a secure cloud portal to cardiologists, referring physicians and patients satisfying the “Meaningful Use” criteria. CardioWise is the first Machine Learning (ML) solution developed to provide caregivers with a 4D cardiac MRI data analysis in a quantitative image needed to accurately and easily assess the viability of the patient’s heart.
CardioWise ML analysis produces a highly accurate mathematical model of the heart that measures strain in 4D and compares it to a strain database of healthy hearts at 15,300 points. Results are displayed in a color 3D model in which blue is normal and red is not normal. This technique will become the gold standard for the diagnosis of cardiovascular disease.
The advantages of CardioWise analysis are:
Safety—Non-invasive and no radiation or contrast agents
Efficient & EMR Compliant—Provides all physicians access to the same easy to interpret data
Quantitative & Normalized—Quantitatively defines the response of an intervention (drug, device, or surgery)
Unbiased—Allows comparison of information for clinical trials
Cost Effective—Reduces unnecessary scans and reduces cost
CardioWise plans to go to market with a Cloud-based, Software as a Service (SaaS) business model where subscribers can upload MRI images over a HIPAA-compliant, secure connection and receive a 3D strain analysis of the patient’s heart in under 10 minutes. The SaaS model represents additional growth pathways through data mining. The company plans to utilize both channel partners as well as a direct sales effort to capitalize on the strengths and advantages of SaaS such as easy, inexpensive access for channel partners; no expensive installations, software updates or training; trial subscriptions to attract new customers; no capital expenditures, only operating budgets; no additional personnel; access to latest technology without purchasing new imaging equipment.