AI & Data Science Leader, Hello Heart
AI & Data Science Leader, Hello Heart
Building intelligent systems that turn complex healthcare data into predictive, responsible, and measurable patient outcomes.
Amir Dolev is a data and AI professional specializing in machine learning, predictive systems, analytics, and applied artificial intelligence within healthcare technology. At Hello Heart, Amir contributes to the development and implementation of predictive, responsible AI systems used to help people understand their cardiovascular risk and prevent avoidable heart attacks and strokes.
With a strong belief in the connection between data and decision making, Amir focuses on building intelligent systems that transform complex healthcare data into actionable insights and measurable patient outcomes. His work sits at the intersection of machine learning, predictive healthcare, AI infrastructure, and responsible AI implementation.
Amir is particularly passionate about the future of vertical AI and how industry-specific artificial intelligence can create more accurate, scalable, and impactful solutions within healthcare environments. His perspective combines technical depth with practical implementation, helping organizations better understand how AI can be responsibly integrated into real-world healthcare systems.
Outside of work, Amir is continuing his studies toward a master's degree in Data Science while balancing life as a husband and father of two.
Hello Heart is a healthcare AI company using predictive technology and personalized insights to help people understand their cardiovascular risk, improve their heart health, and prevent avoidable heart attacks and strokes.
The Hello Heart app, connected monitoring, and personalized coaching bring these AI-powered insights into members' daily lives, driving measurable outcomes for individuals and employers while reshaping how the world's leading cause of death is prevented.
Real-time tracking
Predictive AI insights
Measurable outcomes
Unpacking the regulatory, data, and human complexity that make healthcare uniquely difficult, and uniquely impactful, for AI.
A look at how predictive models can detect risk earlier and drive better long-term patient outcomes at scale.
Moving beyond buzzwords to the principles, guardrails, and engineering practices required for trustworthy AI in clinical contexts.
How industry-specific AI is delivering more accurate, scalable, and meaningful results than general-purpose models.
Exploring how ML translates complex health data into personalized experiences and better clinical decisions.
Amir's perspective on where applied AI is heading and what's coming next for predictive healthcare AI and preventative care.
Amir Dolev brings a highly technical yet accessible perspective to conversations around AI, machine learning, and healthcare innovation. His expertise in predictive systems, applied AI, and responsible implementation makes him a valuable voice for podcasts, conferences, and panels focused on the future of artificial intelligence in real-world industries. Amir's ability to bridge technical infrastructure with practical healthcare applications offers audiences a deeper understanding of how AI is transforming preventative medicine and decision making at scale.
AI and machine learning leadership in real healthcare systems
AI focused specifically on cardiovascular and preventative care
Implementation perspective grounded in safety and impact
All inquiries route directly to troy@kitcaster.com
AMIR DOLEV · HELLO HEART · BOOKED VIA KITCASTER