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.
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.
Saved annually by hospitals using our AI-driven tools.
Patient data points analyzed for better diagnosis and treatment.
Heart surgeries inform our AI models for precision care.
Research papers processed to accelerate breakthroughs.
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.
Co-Director
Dr. Amina Khalpey stands at the forefront of AI-driven healthcare innovation, leading a transformative shift in medical practice. With a PhD in Plasma Physics and MS in Biomedical Engineering, she uniquely bridges complex scientific theory and practical medical applications.
As President of the Applied Translational Artificial Research Institute (ATARI) in AI Foundation and Co-Director of the Khalpey AI Lab, Dr. Khalpey pioneers cutting-edge AI solutions for critical healthcare issues. Her career spans prestigious roles at the Kuwait-MIT Center and Whitehead Institute in Boston, showcasing her global leadership in innovation.
Dr. Khalpey's upcoming book, "The AI Prescription: Transformative Algorithms in Healthcare," offers a comprehensive roadmap for responsibly integrating AI into clinical settings.
Kai 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.
Lab Coordinator
Alyssa Abraham is the Lab Coordinator at the Khalpey AI Lab, where she supports ongoing research projects in AI and cardiovascular medicine, manages lab operations, and helps ensure that team workflows stay organized and on track. She graduated from the University of Manitoba with a degree in Psychology and a focus on management, bringing a unique blend of insight into human behavior and operational efficiency. Alongside her role as an Executive Assistant, Alyssa plays a key role in facilitating project planning, communication, and execution across the lab. Her background in coordination, logistics, and team support allows her to contribute meaningfully to the lab’s collaborative and translational approach to ethical AI in healthcare.
A conversational AI tool for non-physicians
The Khalpey AI Lab is a medical research lab dedicated to integrating AI into healthcare. We focus on cardiac surgery, cancer screening, and disease prediction to improve patient care.
We aim to harness AI for personalized, data-driven healthcare, helping doctors make better decisions and improving patient outcomes.
We specialize in:
AI-driven surgical risk prediction
Heart rate variability and sudden cardiac death prevention
Postoperative atrial fibrillation detection
Frailty analysis before surgery
AI-enhanced patient monitoring and diagnostics
Our AI models analyze millions of patient data points to predict complications, personalize treatments, and help doctors make faster, more informed decisions.
We develop predictive models that detect diseases like cardiovascular conditions and early-stage cancer, improving early diagnosis and treatment strategies.
We partner with HonorHealth, Columbia University, ASU, Saudi Research Centers, Nihon Kohden, Boston Scientific, and other MedTech leaders.
Yes! We welcome partnerships with researchers, startups, and healthcare institutions working on AI-driven medical advancements. Contact us to explore collaboration opportunities.
We follow strict HIPAA, GDPR, FERPA, and SOC 2 compliance to protect patient data and ensure transparency in AI decision-making.
No. AI is designed to assist doctors, not replace them. Our goal is to enhance clinical decision-making while keeping human expertise at the center of care.
You can:
Join our research projects
Collaborate on AI innovations
Stay updated via our blog and social media
Stay updated on the latest AI advancements and join us in shaping the future of medicine.