The Bottom Line
Hello Heart's peer-reviewed research explores whether AI can help identify short-term cardiovascular risk patterns, giving people and care teams a narrower, more actionable window to act.
Traditional risk tools estimate risk over 10 years or more. Realizing that potential requires AI that is evidence-informed, designed with clinical rigor, and transparent about what it can and cannot do.
- Research Finding: In a peer-reviewed study in Frontiers in Digital Health, a Hello Heart AI model was evaluated for its ability to estimate short-term ASCVD risk over 90 and 365 days, a narrower window than traditional calculators.
- Data Approach: The model combined medical record data with home monitoring measurements and may help identify short-term cardiovascular risk more clearly than traditional risk calculators alone.
- Clinical Context: Short-term risk prediction may support earlier behavior change, medication consistency, and clinical follow-up before a serious event occurs.
How could predictive AI transform cardiovascular care?
For decades, cardiology has made enormous progress treating people after symptoms appear, after disease is detected, or after a serious event has already happened. That work has saved lives. But the future we envision at Hello Heart is much more proactive.
By using AI-powered predictive analytics and connected health data, our goal is to help identify cardiovascular risk earlier, support more personalized care, and create opportunities to act before serious events occur.
This is especially important because heart attacks and strokes rarely come out of nowhere. Risk builds over time through patterns in blood pressure, cholesterol, medication adherence, heart rhythm, weight, activity, symptoms, and other signals that may be hard for both patients and clinicians to identify without a connected heart health platform.
At Hello Heart, that is exactly where we believe predictive AI can have the greatest impact. Rather than replace clinicians or turn cardiovascular care into a robotic, soulless experience, it’s more about giving people and their care teams the best possible view into risk so they can take action earlier and live healthier, longer, happier lives.
Here’s everything you need to know about innovations in healthcare AI.
What is predictive AI in healthcare?
Predictive AI in healthcare uses data and machine learning to help identify people who may be at higher risk for a serious health event or worsening condition.
In heart health, predictive AI can use clinical data and mobile health data, such as blood pressure and heart rate, to support earlier cardiovascular risk identification.
How is AI used in heart health?
AI can help analyze heart health data, identify patterns, personalize coaching, support medication routines and questions, and help people better understand the connection between their lifestyle and their heart health risk.
At Hello Heart, AI is part of a connected platform that includes blood pressure and risk factor tracking, medication support, personalized insights, and Nia, the 24/7 AI heart health agent.
What is preventive cardiovascular AI?
Preventive cardiovascular AI refers to artificial intelligence designed to support earlier risk identification and more personalized prevention in heart health.
It can help people understand their numbers, stay engaged with healthy habits, manage medications, and know when to involve their care team.
How does Hello Heart use predictive AI?
A peer-reviewed study published in Frontiers in Digital Health evaluated a Hello Heart AI model for short-term atherosclerotic cardiovascular disease, or ASCVD, risk prediction over 90 and 365 days.
To predict who may have a heart attack or stroke within the next 90 or 365 days, the model drew on a broader clinical picture than traditional risk calculators—combining medical record data with real-world home monitoring measurements like blood pressure and heart rate.
The study findings suggest that this approach may help identify short-term cardiovascular risk more clearly than traditional risk calculators alone.
While traditional cardiovascular risk tools often look at long-term risk, many people need support understanding what may be changing in their health now.
This ASCVD prediction model is a research finding—one that reflects Hello Heart's conviction that combining clinical data with real-world home monitoring can create a more timely, personalized view of cardiovascular risk.
Can AI prevent heart attacks?
AI can’t prevent heart attacks on its own, but it can support heart attack prevention by helping identify risk earlier, personalize health guidance, and encourage timely action. For heart health, that may include helping people track blood pressure, understand patterns, stay consistent with medications, and connect with their care team when needed.
As AI helps people and clinicians detect cardiovascular risk sooner, more people should have the chance to act before a serious event occurs.
What is short-term cardiovascular risk prediction?
Traditional cardiovascular risk tools often estimate risk over longer time horizons, such as 10 years or more.
Short-term risk prediction can help people and care teams understand more immediate risk patterns, which may support earlier behavior change, medication support, and clinical follow-up.
For cardiovascular care, that could be a major step forward. The future of heart health will depend on more than treating disease after it appears. It will depend on helping people see risk earlier, understand it clearly, and take action while there is still time to change the path.
Questions? Learn more about Hello Heart’s solutions here.
