RSNA Imaging AI Certificate Program faculty

Marta Heilbrun, MD, is the associate medical director for quality and safety in imaging services at Intermountain Healthcare. Dr. Heilbrun completed medical school at the University of Utah, a preliminary surgery internship at Stanford, a diagnostic radiology residency at Wake Forest/North Carolina Baptist Hospital and fellowship training in abdominal imaging and outcomes at the University of Utah. Dr. Heilbrun’s activities include lean management, safety culture, standard work development, policy management, accreditation readiness and patient communications. She leads teams and empowers front line care providers to solve problems and address barriers to care, while leveraging informatics tools and her background as a health services researcher to accomplish these goals. Dr. Heilbrun has led RSNA’s Structured Reporting Subcommittee of the RSNA Radiology Informatics Committee since 2017, is one of the technical advisors for the RSNA Annual Imaging AI in Practice (IAIP) Demonstration and serves on both the RSNA R&E Foundation Board of Trustees and the Digital and Live Education Committee. 

Imon Banerjee, PhD, is an associate professor in the Department of Radiology at Mayo Clinic and an affiliate faculty member in the computer engineering department at Arizona State University. She currently holds adjunct faculty positions at Emory University, University of Wisconsin–Madison and Georgia Tech. Dr. Banerjee's doctorate is in computer science, with a focus in AI and data mining. She completed her postdoctoral training at Stanford University and worked as an instructor in the Stanford AIMI Center. Her current research is focused on integration of multisource medical data and developing 'fair' AI models. Dr. Banerjee has successfully led multiple federal and non-federal research projects related to machine and deep learning-based research projects.

Po-Hao (Howard) Chen, MD, MBA, is the chief informatics officer at the Cleveland Clinic Imaging Institute. Dr. Chen and his team manage Cleveland Clinic’s extensive radiology systems and have pioneered AI tools that redefined their radiology practices, such as a patient-focused imaging results module.

Board-certified in both diagnostic radiology and nuclear medicine, Dr. Chen practices musculoskeletal imaging, bringing precision to diagnostics at multiple levels. His involvement with professional organizations includes shaping informatics education and strengthening radiology's cybersecurity posture through leadership roles with the American College of Radiology (ACR), RSNA and the Society for Imaging Informatics in Medicine (SIIM).

Committed to revolutionizing patient care through faster, more accurate and affordable diagnostics, Dr. Chen’s daily role involves continuously streamlining workflows and leveraging technology to elevate health care delivery. Dr. Chen enjoys imaging informatics, health care innovation and good comfort food. Find Dr. Chen on X, LinkedIn or his blog, Figure Stuff Out. The content of Dr. Chen’s blog is of his personal opinion and does not represent the views of Cleveland Clinic or RSNA.

Tessa Cook, MD, PhD, is an associate professor of radiology at the Perelman School of Medicine at the University of Pennsylvania in Philadelphia and vice chair of practice transformation in the Department of Radiology. She is an active member of multiple radiology societies, including RSNA, American College of Radiology, Society for Imaging Informatics in Medicine (SIIM) and the Association of University Radiologists. She is the director of the Imaging Informatics Fellowship and modality chief of 3D and advanced imaging. Dr. Cook is chair of the SIIM and in 2020, she was inducted into the College of SIIM Fellows, when she received SIIM’s Dr. Ruth Dayhoff Award for the advancement of women in medical imaging informatics. She pursues innovative methods to enhance care delivery in radiology and improve radiologists' workflows. 

Amy Kotsenas, MD, is a professor in the Department of Radiology at Mayo Clinic in Rochester, MN. Dr. Kotsenas completed her training at Temple University in Philadelphia, PA, followed by residency and fellowship in neuroradiology at Hahnemann Hospital. She joined the staff of Mayo Clinic in 1999 and is board certified in both neuroradiology and clinical informatics. Dr. Kotsenas currently chairs the Mayo Clinic Clinical Digital Imaging Committee, leading the team that oversees enterprise imaging, the clinical image archive and image exchange.  Dr. Kotsenas was the 2016 recipient of the AAWR Women in Neuroradiology Leadership award, presented by the American Society of Neuroradiology and American College of Radiology (ACR). In May 2019, she was elected to the American College of Radiology Board of Chancellors and now serves as ACR Council Speaker. 

Nina Kottler, MD, MS, has been a practicing radiologist specializing in emergency imaging for more than 17 years. Combining her clinical experience with a graduate degree in applied mathematics, she has been using technologic innovation to drive value in radiology. As the first radiologist to join Radiology Partners, Dr. Kottler has held multiple leadership positions within her practice and is currently the associate chief medical officer for clinical AI. Dr. Kottler is an associate fellow at the Stanford AIMI Center and serves on committees for the ACR, RSNA and SIIM. As an industry expert, Dr. Kottler consults for companies in aerospace, materials science and health care and she is a frequent international lecturer discussing imaging AI.

Matthew Morgan, MD, is an associate professor of radiology in the Department of Radiology and Imaging Sciences at the University of Utah. Dr. Morgan is the author of numerous peer-reviewed articles and textbook chapters and has earned multiple national research awards. His clinical focus is on the early detection and improved management of cancer using advanced imaging techniques.

Dr. Morgan trained at the University of Pittsburgh Medical Center, where he served as chief resident and completed an intensive research fellowship in imaging informatics. Dr. Morgan serves on the RSNA Informatics Committee and enjoys teaching medical students, residents, fellow physicians and routinely presents at national medical meetings.

Linda Moy, MD, is a professor of radiology at the NYU Grossman School of Medicine with additional appointments at the NYU Center for Advanced Imaging Innovation and Research and the NYU Vilcek Institute of Graduate Biomedical Sciences. She is director of breast MRI (clinical and research) throughout the NYU Health Network.

Dr. Moy completed her radiology residency at Albert Einstein/Montefiore Medical Center in 1999 and a fellowship in breast imaging at Massachusetts General Hospital in 2000.

Dr. Moy has developed robust breast imaging research programs across multiple imaging modalities and has achieved widespread recognition in academic radiology as an accomplished investigator, author and editor. In 2023, she will become Radiology's editor. In addition to her work for Radiology, Dr. Moy has been a manuscript reviewer for 14 other journals.

Luciano M.  Prevedello MD, MPH, is an associate professor of radiology at The Ohio State University Wexner Medical Center. He is also the vice chair for medical informatics and augmented intelligence in imaging and medical director of the 3D and Advanced Visualization Lab. Dr. Prevedello is on the Board of Directors at the Society for Imaging Informatics in Medicine, is chair of the Machine Learning Steering Committee at RSNA and a member in the Radiology Informatics Committee and Scientific Program Committee at RSNA. Dr. Prevedello is also an associate editor of Radiology: Artificial Intelligence and serves as a member of the Informatics Advisory Council at the American College of Radiology. 

Nabile Safdar, MD, is the vice chair of imaging informatics at the Department of Radiology and Imaging Sciences at the Emory University School of Medicine and is the associate chief medical information officer for Emory Healthcare. He works closely with a group of physicians, physicists, clinical informaticists and researchers who are active in bringing innovative solutions to advance the clinical, education and research missions of Emory Healthcare. In addition, Dr. Safdar led a one-year imaging informatics fellowship for physicians interested in developing their interests and skills in imaging informatics. Dr. Safdar earned his medical degree from Thomas Jefferson University and his master’s in public health from the University of Maryland. He completed his radiology residency and fellowship in imaging informatics and musculoskeletal Imaging at the University of Maryland. Dr. Safdar is board certified by the American Board of Radiology with a certificate of added qualification in pediatric radiology. He is also board certified in clinical informatics by the American Board of Preventative Medicine.

George Shih, MD, is a radiologist at Weill Cornell Medicine, where he is professor and vice chair for informatics. He has undergraduate and master's degrees in computer science and electrical engineering and attended Duke University School of Medicine before completing his residency at Columbia University Irving Medical Center.

Dr. Shih is the principal investigator of the TDP3 project, which provides the cloud infrastructure for the RSNA data ingestion and data harmonization processes and pipelines that feed into the Medical Imaging and Data Resource Center (MIDRC) platform for publication.

Dr. Shih is an active member of the MIDRC Data Quality and Harmonization Subcommittee, RSNA’s Informatics Committee, Machine Learning Steering Subcommittee and Machine Learning Data Standards Subcommittee. He is also an associate editor for Radiology: Artificial Intelligence, an editorial board member for the Journal of Digital Imaging and co-founder of MD.ai, which provides a medical AI cloud platform for doctors, researchers and engineers to annotate, build, validate and deploy medical AI.