AI Experts
Learn about the many ways that researchers at the University of Kansas Medical Center and The University of Kansas Health System are using artificial intelligence.
Department of Biostatistics and Data Science
Zhiguo Zhou, Ph.D., is an assistant professor in the Department of Biostatistics and Data Science. He is an expert in deep learning on medical images and radiomics. Dr. Zhou leads the Reliable Intelligence and Medical Innovation Lab at KU Medical Center, which is devoted to developing reliable artificial intelligence (RAI) theory to achieve balance, credibility, adaptation and interpretability in machine learning models. His interests are in developing RAI-based models or methods for clinical problems, particularly in cancer.
In a recent article, Dr. Zhou discusses an approach for automated tumor localization in head and neck cancer imaging.
Reliable Intelligence and Medical Innovation Laboratory (RIMI Lab)
Automated Tumor Localization and Segmentation Through Hybrid Neural Network in Head and Neck Cancer
Department of Biostatistics and Data Science
Jinxiang Hu, Ph.D., is an associate professor in the Department of Biostatistics and Data Science. Her research interest is in the intersection of psychometrics and AI. She is also a member of the KU Medical Center AI Steering Committee.
In a recent project, Dr. Hu and collaborators made prediction of Alzheimer’s Disease using clinical, imaging, and genetic data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, using an explainable latent multimodal deep learning model.
Department of Biostatistics and Data Science
Yanming Li, Ph.D., is an assistant professor in the Department of Biostatistics and Data Science. His research interest is in the development of AI methods for predicting health care outcomes. In a recent study, he was part of a consortia that developed an AI model to predict survival in alcohol-associated hepatitis.
Department of Biostatistics and Data Science
Dong Pei, Ph.D., is a research assistant professor in the Department of Biostatistics and Data Science. His interest is in the application of AI to genomics data.
Recently, Dr. Pei collaborated on a project that used deep learning to enhance the reliability of PD-L1 analysis in triple negative breast cancer.
Department of Cardiovascular Medicine
Amit Noheria, M.D., is an associate professor in the Department of Cardiovascular Medicine. He leads the Program for AI and Research in Cardiovascular Medicine at KU Medical Center. In a recent review, Dr. Noheria looks at how AI is transforming ECG interpretation.
Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review
Program for AI and Research in Cardiovascular Medicine
Department of Otolaryngology-Head and Neck Surgery
Andres M. Bur, M.D., FACS, is the Director of Robotics and Minimally Invasive Head and Neck Surgery and an associate professor of Otolaryngology-Head and Neck Surgery.
His research interest is in the application of AI to improving head and neck cancer diagnosis and management. In a recent article, he explores how chatbots might benefit preoperative counseling.
Division of Medical Informatics
Diego Robles Mazzotti, Ph.D. is an assistant professor and the interim division chief in the Division of Medical Informatics, Department of Internal Medicine.
Dr. Mazzotti is interested in the use of AI to predict sleep-related health outcomes. In recent work, he describes a machine-learning approach to identifying social risk clusters associated with obstructive sleep apnea and clinical predictors of cardiovascular outcomes.
Department of Radiology
Anil Chauhan, M.D., is a professor and the vice-chair of artificial intelligence, informatics and innovation for the Department of Radiology.
His research interests include the application of AI to create biomarkers from clinical imaging. He recently co-authored an article discussing the quantification of liver fat from CT and MRI, including the use of artificial intelligence techniques.
US Quantification of Liver Fat: Past, Present, and Future
Hannes Devos, Ph.D., PT, DRS, FACRM
Department of Physical Therapy, Rehabilitation Science and Athletic Training
Hannes Devos, Ph.D., PT, DRS, FACRM, is an associate professor in the Department of Physical Therapy, Rehabilitation Science and Athletic Training with a joint appointment in the Department of Occupational Therapy Education in the KU School of Health Professions. He is also a member of the KU Medical Center AI Steering Committee.
His research interests include the use of AI to diagnosis movement disorders, such as Parkinson's, from wearable sensor data and the use of AI to create more effective interventions.
He recently published research using machine learning with wearable sensors to differentiate Parkinson’s Disease from Essential Tremor.
Department of Family Medicine and Community Health
Daniel Parente, M.D., is an assistant professor in the Department of Family Medicine and Community Health and is certified by the American Board of Family Medicine.
Dr. Parente’s research centers on improving precision medicine in primary care. His research focuses primarily on how advanced technologies — such as machine learning or genomic technologies — can be used to improve patient outcomes.
In a recent article, he discusses the use of generative AI in medical education.
Generative Artificial Intelligence and Large Language Models in Primary Care Medical Education
Department of Family Medicine and Community Health
Dr. Denton K Shanks, D.O., MPH is certified by the American Osteopathic Board of General Practice and is AI, Digital Health, Informatics Medical Director, Associate Professor, Family Physician. Dr. Shanks currently works in the Department of Family Medicine & Community Health at The University of Kansas Health System and is member of the AI Steering Committee and AI Advisory Group at the University of Kansas Medical Center.