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Keynote Address

Jan 23 | 8:00AM - 9:15AM

Artificial Intelligence (AI) and the Future of Nutritional Support (T10)

Keynote Address: Artificial Intelligence (AI) and the Future of Nutritional Support (T10)


Artificial Intelligence (AI) and machine learning are revolutionizing every industry. We will discuss these technologies and how rapidly they are shaping our future. We will focus on AI applications impacting diagnostic and therapeutic strategies in a variety of medical fields. We will then discuss how computerized clinical decision support for enteral and parenteral nutrition might be dramatically influenced by AI.


  1. Identify how artificial intelligence and machine learning differ from rule-based decision support
  2. Describe current uses of AI in medical specialties
  3. Discuss how AI might radically change how recommendations are generated for general nutrition and for enteral and parenteral support of complex patients


Steve G. Peters, MD

UAN: J0002345-0000-18-007-L04-P
CE CREDIT: 1 hour

Steve Peters


Dr. Peters is Vice Medical Information Officer for Mayo Clinic and the Medical Director for the Center for Translational Informatics and Knowledge Management. He is a Professor of Medicine and Consultant in Pulmonary and Critical Care Medicine. After graduating Princeton University and the University of Rochester School of Medicine, he completed training in internal medicine, pulmonary and critical care at the Mayo Graduate School of Medicine. He is board certified in these three specialties and in clinical informatics. He is a Fellow of the American College of Physicians, the American College of Chest Physicians and the American College of Critical Care Medicine. 

He has participated directly in the development of the Electronic Health Record at the Mayo Clinic for nearly 30 years, having overseen the conversion of ICU and operating room systems, and applications including electronic charting, computerized provider-order entry, clinical decision support and population management tools. He has spoken and published about topics including the future of the electronic medical record, Big Data and advanced decision support. He is currently physician director of a large scale EHR conversion project for all Mayo Clinic sites nationwide, affecting over 50,000 users.