SUMMARY
As a physician and data scientist, Alexander J. Ryu, M.D., focuses on developing, validating and translating novel artificial intelligence (AI) tools that improve patient outcomes, uncover research insights from diverse data and help clinicians work more efficiently. Dr. Ryu's work has resulted in the creation of multiple software tools currently deployed in clinical practice.
Focus areas
- Development, validation and deployment of AI tools for clinical operations. Dr. Ryu leads and contributes to the development, validation and deployment of multiple AI tools that help improve patient outcomes and the efficiency of patient care. For example, he oversaw the creation and implementation of Mayo Clinic's first internally developed AI model for the electronic health record system.
- AI-assisted review of medical records. To improve the efficiency of triage and clinical care within ever-growing volumes of medical records and system complexities, Dr. Ryu co-leads a team developing software to make comprehensive reviews of medical records more efficient and informative.
- Genomic foundational language models. Dr. Ryu's research also involves characterizing the performance and interpretability of genomic foundational language models for application to patient care.
Significance to patient care
Dr. Ryu's work uses AI to help healthcare professionals take better care of patients. By studying medical data, Dr. Ryu finds new ways to spot health issues early, make treatments more personal and reduce mistakes in complicated medical systems.
By bringing together the skills of a doctor and a data scientist, Dr. Ryu has turned many ideas into real products and services that improve healthcare. His goal is to keep building and testing AI tools that support clinicians and make the healthcare system work more smoothly for everyone.
Professional highlights
- Innovation chair, Division of Hospital Internal Medicine, Mayo Clinic, 2022-present.
- Vice chair, AI and Informatics, Department of Medicine, Mayo Clinic, 2022-present.