Khalpey AI Lab
AI in Healthcare Doesn’t Have to Be Complex
At the Khalpey AI Lab powered by ATARI we simplify AI for real-world medical use, helping physicians, researchers, and healthcare teams integrate AI-driven decision-making into patient care.
AI-Driven Research
We analyze patient data, surgical outcomes, and predictive models to improve healthcare.
Surgical & Cardiac Innovations
Our AI tools assist in heart surgery risk prediction, atrial fibrillation detection, and patient monitoring.
Early Disease Detection
AI enhances cancer screening, cardiovascular risk assessment, and pre-symptomatic COVID-19 identification.
Data-Backed Decision Support
We mine electronic health records, wearables, and imaging data to help doctors make faster, more informed choices.
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HIPAA Compliant
We strictly follow HIPAA regulations to safeguard patient health information (PHI), ensuring that AI-driven insights remain secure and private.
GDPR Adherent
We align with GDPR requirements to guarantee data protection and ethical AI use in global research collaborations.
FERPA Protected
In partnership with educational institutions, we maintain FERPA compliance, securing student and trainee data involved in AI-driven medical learning.
SOC 2 Compliant
Our infrastructure is SOC 2 compliant, meaning our AI platforms meet rigorous security, confidentiality, and processing integrity standards.
Explore the Advantages of AI-Powered Healthcare
At Khalpey AI Lab, we are pushing the boundaries of AI-driven healthcare, transforming patient outcomes through cutting-edge innovations.
5-8 Million
Saved annually by hospitals using our AI-driven tools.
7+Million
Patient data points analyzed for better diagnosis and treatment.
600,000+
Heart surgeries inform our AI models for precision care.
20+ Million
Research papers processed to accelerate breakthroughs.
Meet our interdisciplinary team
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Zain Khalpey
Director
Dr. Zain Khalpey is a robotic heart surgeon and Director of the Artificial Heart Program in Arizona, pioneering the integration of AI in cardiac care. Trained at Cambridge, Mayo Clinic, Harvard, and Columbia, his research spans metabolomics in transplantation, in-silico organ modeling, and robotic cardiac surgery. At the Applied Translational Artificial Research Institute (ATARI), he translates AI breakthroughs into practical medical solutions. A global thought leader, Dr. Khalpey advises Fortune 500 companies on AI in healthcare and explores longevity medicine and surgical robotics. His book, The AI Prescription, envisions a future where AI enhances—rather than replaces—the human touch in medicine.
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Amina Khalpey
Co-Director
Dr. Amina Khalpey is a plasma physicist whose work sits at the intersection of medicine, engineering, and artificial intelligence. Her early research applied plasma technology to improve the surface properties of artificial cardiac grafts, teaching her a principle that has shaped everything since: the tool must serve the patient, not the other way around.
She holds a PhD in Plasma Physics and an MS in Biomedical Engineering, with research completed at CNRS laboratories in Paris and Montpellier. Her career has spanned leadership roles at MIT, the Whitehead Institute, and Harvard, where she worked across scientific collaboration, intellectual property, humanitarian medicine, and translational research.
Today, she serves as President of the Applied Translational Artificial Intelligence Research Institute, ATARI, and Co-Director of the Khalpey AI Lab, where she leads AI-driven research in cardiac care. Her work focuses on heart-rate variability and waveform technologies for conditions such as sudden cardiac death, atrial fibrillation, and silent hypoxia, guided by a central conviction: artificial intelligence can support medicine, but it must never be allowed to outrun accountability.
Her forthcoming book, The Red Line: What AI Must Never Do in Medicine, took four years to write. It grew out of earlier manuscripts focused on AI’s promise in medicine, but over time the project shifted toward a harder question: not only what AI can do, but what medicine must never allow it to do.
The Red Line is not a rejection of AI in medicine. It is a demand that medicine draw the line before artificial intelligence becomes too embedded, too opaque, and too powerful to challenge.
Ujjawal Kumar
Research Fellow
Ujjawal is an aspiring cardiothoracic surgeon-scientist with a strong interest in improving patient outcomes through emerging technologies, big data, and artificial intelligence. Educated at the University of Cambridge, he has extensive research experience spanning laboratory, computational, and clinical domains, with numerous publications and presentations at local, national, and international conferences, where he has received multiple prestigious prizes for his work. He has completed multiple clinical rotations in cardiac surgery at Royal Papworth Hospital, the Cleveland Clinic, and at HonorHealth with Dr Khalpey. He actively leads a range of clinical and AI-focused projects within the Khalpey AI Lab.
ATARI AI's KAI
A conversational AI tool for non-physicians
Frequently Asked Questions (FAQs) – ATARI AI Lab
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We Are Committed to Building the Future of AI in Healthcare
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