Improved Performance of an Updated Artificial Intelligence Model for Interpretation of Functional Lumen Imaging Probe Panometry Studies.

Abstract

Authors

• Ofer Z Fass
  Kenneth C. Griffin Esophageal Center of Northwestern Medicine, Department of Medicine, Division of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
• Kristjana Kristinsdottir
  Research & Development, Department of Information Services, Northwestern Medicine, Chicago, Illinois, USA.
• Evandros Kaklamanos
  Research & Development, Department of Information Services, Northwestern Medicine, Chicago, Illinois, USA.
• Priyanka Soni
  Research & Development, Department of Information Services, Northwestern Medicine, Chicago, Illinois, USA.
• Kenneth Hudson
  Research & Development, Department of Information Services, Northwestern Medicine, Chicago, Illinois, USA.
• Mozziyar Etemadi
  From the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta (O.T.I., M.B.P., A.Q.J., A.D., A.O.B.); Division of Cardiology (S.D., T.D.M., L.K.) and Department of Bioengineering and Therapeutic Sciences (S.R.), University of California, San Francisco; and Department of Anesthesiology and Department of Biomedical Engineering, Northwestern University, Chicago, IL (M.E., J.A.H.).
• John E Pandolfino
  Department of Medicine, Division of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
• Dustion A Carlson
  Kenneth C. Griffin Esophageal Center of Northwestern Medicine, Department of Medicine, Division of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

Keywords

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