Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

Affiliations

• ¹ Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
• ² Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
• ³ Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
• ⁴ Center for Biostatistics and Data Science, Washington University School of Medicine, St. Louis, MO, USA.
• ⁵ Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, NY, USA.
• ⁶ Israel Englander Department of Ophthalmology, Weill Cornell Medicine, New York, NY, USA.
• ⁷ Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health (NIH), Bethesda, MD, USA.
• ⁸ National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, USA.
• ⁹ Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. atlaswang@utexas.edu.
• ¹⁰ Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. yip4002@med.cornell.edu.