Vy Thuy Ho, MD, MS, is a vascular surgeon and research scientist at the Kaiser Permanente Northern California Division of Research. She investigates the intersection of cardiovascular outcomes, biomedical informatics, and population health, with a focus on improving the detection and management of vascular disease through advanced analytics and electronic health record (EHR)–based tools.
Dr. Ho received her bachelor’s degree in Biological Sciences from Stanford University and her medical degree from Columbia University College of Physicians & Surgeons. She completed her integrated vascular surgery residency at Stanford University, where she also earned a Master of Science in Biomedical Informatics and completed the Stanford Intermountain Fellowship in Population Health, Primary Care, and Implementation Science.
Her research centers on leveraging machine learning, deep learning, and large-scale administrative and clinical data to improve diagnosis, risk prediction, and clinical decision support for vascular conditions. She has led studies evaluating national abdominal aortic aneurysm (AAA) screening practices, cost‑effectiveness of postoperative imaging strategies, and real‑world outcomes following endovascular aortic repair. Her work has also applied supervised and deep learning methods to predict chronic opioid use, peripheral arterial disease, and abnormal cardiac function from EHR and imaging data.
Dr. Ho is equally committed to implementation science, examining how clinical workflows, alert fatigue, and user-centered design influence the adoption of AI‑enabled tools in practice. She has conducted mixed‑methods evaluations and usability testing to identify barriers and facilitators to integrating machine learning–based decision support into routine care.
Her long‑term goal is to develop and implement equitable, data‑driven approaches to cardiovascular disease detection, with a particular interest in improving AAA risk prediction for populations historically underserved by existing guidelines, including women and non‑smoking men
Current Positions
- Research Scientist I
- Vascular Surgeon, The Permanente Medical Group
Section Affiliations
Primary Research Interests
- Machine learning and deep learning for cardiovascular risk prediction
- Abdominal aortic aneurysm screening and outcomes
- Implementation science and clinical decision support
- Population‑based evaluation of vascular surgery outcomes
- EHR‑based phenotyping and predictive modeling
