Automation and Artificial Intelligence in Clinical Nutrition (SU45)

Breakout

Date & Time:

March 23, 2025

4:00 PM – 6:00 PM ET

Format:

In Person & Virtual

CE Credits:

2 Hours

UAN: JA0002345-0000-25-042-L99-P

Course level:

Intermediate

session objectives:

What You'll Learn

LEARNING OBJECTIVES

  • Explain how artificial intelligence (AI) can aid in nutrition assessments and clinical decision making.
  • Apply AI technologies, including chatbots, to analyze health data and assess nutrition needs and body composition.
  • Evaluate the ethical considerations, potential biases, and privacy concerns associated with AI use in clinical settings.

Topics & Presenters

Perceptions of Registered Dietitians on the Use of AI During Dietetic Consults: A Survey

Danelle Johnson
MS, RDN, LD, CNSC

Advanced Practice II Dietitian

Home Parenteral and Enteral Nutrition, Mayo Clinic

Rochester, MN

From Data to Decisions: The Role of AI in Clinical Nutrition

Jithinraj Edakkanambeth Varayil
MD

Assistant Professor of Medicine

Department of Family Medicine, Mayo Clinic College of Medicine and Science

Physician

Mayo Clinic

Rochester, MN

Chatbots, Nutrition, and Body Composition: AI’s Moment to Shine...or Not Yet!

Salvatore Carbone
PhD, RDN, FHFSA, FASPEN

Associate Professor and Director

Nutrition Program, Macon & Joan Brock Virginia Health Sciences at Old Dominion University

Division of Endocrine & Metabolic Disorders

Strelitz Diabetes Center, Eastern Virginia Medical School at Old Dominion University

Norfolk, VA

Ethical Issues With AI in Clinical Care

David Seres
MD, ScM, PNS, FASPEN

Professor of Medicine

Institute of Human Nutrition, Columbia University Irving Medical Center

Director of Medical Nutrition and Associate Clinical Ethicist

Columbia University Irving Medical Center

New York, NY

Moderators:

Ryan Hurt

MD, PhD, FASPEN

Professor of Medicine

Mayo Clinic College of Medicine

Rochester, MN