Illustration of care providers interacting with biomedical AI symbols and icons Artificial intelligence to enhance patient care

The Biomedical Artificial General Intelligence Laboratory develops AI algorithms and computational frameworks that support clinical decision-making and preventive medicine.


Led by John Kalantari, Ph.D., the Biomedical Artificial General Intelligence Laboratory at Mayo Clinic focuses on novel applications of artificial intelligence (AI) and machine learning to problems in biology and medicine. The lab's goal is to create AI and machine-learning technologies that will transform medicine along two main fronts: predictive analytics for real-time decision feedback and causal inference for preventive medicine.

The lab's emphasis on artificial "general" intelligence indicates its focus on the development of generalizable machine-learning algorithms and techniques for the clinical practice that span the areas of explainability, AI fairness, robustness, uncertainty and security.

The Biomedical Artificial General Intelligence Laboratory develops algorithms and computational frameworks for:

  • Bayesian optimization
  • Causal inference
  • Complex adaptive system modeling
  • Probabilistic machine learning
  • Reinforcement learning

Research efforts include developing diagnostic and prognostic forecasting platforms that leverage experimental, multi-omic and clinical data to improve patient care. Such platforms aim to help health care providers with:

  • Diagnostics and risk stratification
  • Disease monitoring
  • Causal treatment effect estimation
  • Patient outcome prediction
  • Postoperative surgical care optimization
  • Data privacy
  • Drug discovery


The Biomedical Artificial General Intelligence Laboratory works closely with other groups and organizations within Mayo Clinic, including:

About Dr. Kalantari

In addition to leading the Biomedical Artificial General Intelligence Laboratory, Dr. Kalantari is an assistant professor of surgery at Mayo Clinic College of Medicine and Science and an associate research consultant in the Department of Surgery and the Department of Quantitative Health Sciences. He is also the moderator of the Mayo Clinic Center for Individualized Medicine's Artificial Intelligence Speaker Series.

Dr. Kalantari's research goal is to develop a clinical AI platform that enhances clinical decision-making by using causal reasoning to model and predict the most effective interventions for improving patient care.

Read more about Dr. Kalantari and his work.