Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Affiliations

• ¹ Duly Health and Care, Department of Radiology, Downers Grove, IL, USA. ayis@uic.edu.
• ² Department of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, IL, USA. ayis@uic.edu.
• ³ Department of Radiology, University of Central Florida, Orlando, FL, USA.
• ⁴ Brainnet, Inc., West Harrison, NY, USA.
• ⁵ Department of Radiology, Emory University, Atlanta, GA, USA.
• ⁶ Department of Radiology, Florida State University, Tallahassee, FL, USA.
• ⁷ Department of Cardiology, Duly Health and Care, Downers Grove, IL, USA.
• ⁸ Duly Health and Care, Department of Radiology, Downers Grove, IL, USA.
• ⁹ EPAM, Inc, Newtown, PA, USA.
• ¹⁰ Department of Radiology, Northwestern University, Chicago, IL, USA.
• ¹¹ Department of Biomedical and Health Information Sciences, UCSF, San Francisco, CA, USA.
• ¹² Center for Artificial Intelligence in Medicine, Stanford University, Stanford, CA, USA.
• ¹³ Microsoft, Microsoft Corporation, Redmond, USA.
• ¹⁴ Department of Neurology, The University of Texas Medical Branch, Galveston, TX, USA.
• ¹⁵ Department of Computer Science, Stanford University, Stanford, CA, USA.
• ¹⁶ Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
• ¹⁷ Bunkerhill, Palo Alto, CA, USA.
• ¹⁸ Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
• ¹⁹ Department of Radiology, University of Wisconsin, Madison, WI, USA.
• ²⁰ Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.