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<pre>
Preface
Denis Newman-Griffisa,b , Serguei V. Pahkomovc , Suzanne Tamangd , Ayah Ziriklyb,e ,
Bart Desmetb , Hongfang Liuf and Junichi Tsujiig
a
  University of Pittsburgh, Pittsburgh, Pennsylvania, USA
b
  National Institutes of Health Clinical Center, Bethesda, Maryland, USA
c
  University of Minnesota, Minneapolis, Minnesota, USA
d
  Stanford University, Stanford, California, USA
e
  Johns Hopkins University, Baltimore, Maryland, USA
f
  Mayo Clinic, Rochester, Minnesota, USA
g
  National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan



                                        a


AI4Function: A New Interdisciplinary Community
Artificial intelligence (AI) technologies are increasingly applied to drive innovation and improve
care in diverse areas of medicine. In recent years, new areas of research have emerged at the
intersection of AI technologies and the measurement and optimization of functional outcomes,
with developments such as: (1) the use of wearable sensors to capture physical function; (2)
natural language processing to analyze clinical observations of function; and (3) the development
of AI-driven assistive technologies. These innovations have largely developed independently
of one another, without the benefit of a common venue for researchers to share insights and
exchange ideas about AI for function across disciplinary boundaries.
   The First Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function)
was organized to bring together members of the AI and health communities interested in function
to chart the course of this emerging area of research. Authors were invited to submit both
original research papers, for publication in the workshop proceedings, and abstracts describing
work in progress or published elsewhere, for presentation in the workshop.
   Nine submissions were made to the workshop, of which seven were selected after rigorous
peer review for inclusion in the workshop. These proceedings include the five original research
papers accepted for publication in AI4Function 2020.
   The workshop was originally scheduled to be held in Yokohama, Japan, in July 2020, co-
located with the 2020 International Joint Conference on Artificial Intelligence - Pacific Rim
International Conference on Artificial Intelligence (IJCAI-PRICAI 2020). Due to the COVID-19
pandemic, we delayed the workshop to January 2021, held in a virtual format together with the
host conference.

First Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function 2020), July 07–08, 2021, Online
Envelope-Open dnewmangriffis@pitt.edu (D. Newman-Griffis)
Orcid 0000-0002-0473-4226 (D. Newman-Griffis)
                                       © 2020 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
    CEUR
    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)
  The workshop was held on January 7th and 8th, 2021. In addition to the papers included in
these proceedings, the program included:

   • Presentation of two abstracts: “Challenges of developing a natural language processing
     method with electronic health records to identify persons with chronic mobility disability,”
     by Nicole Agaronnik, Charlotta Lindvall, Areej El-Jawahri, Wei He, and Lisa Iezzoni;
     and “Building a Mobility Dictionary for Whole-Person Functional Assessment,” by Ayah
     Zirikly, Bart Desmet, Denis Newman-Griffis, Pei-Shu Ho, Jonathan Camacho Maldonado,
     Maryanne Sacco, and Julia Porcino.
   • A keynote presentation from Dr. Hongfang Liu (Mayo Clinic).
   • A panel discussion regarding next steps and future directions for AI research in function,
     disability, and health.


Program Committee
   • Steven Bedrick, Oregon Health and Science University
   • Jonathan Camacho Maldonado, National Institutes of Health Clinical Center
   • Guy Divita, National Institutes of Health Clinical Center
   • Tome Eftimov, Jozef Stefan Institute
   • Reuben Escorpizo, University of Vermont
   • Milena Gianfresco, University of California at San Francisco
   • Kerri Gogolin, Sensentia
   • Christine Herlihy, GTRI
   • Pei-Shu Ho, National Institutes of Health Clinical Center
   • Zara Izadi, University of California at San Francisco
   • Josephine Jacobs, Veterans Administration
   • Rafael Jimenez Silva, National Institutes of Health Clinical Center
   • Albert M Lai, Washington University in St. Louis
   • Young Ji Lee, University of Pittsburgh
   • Beth Marfeo, Tufts University
   • Christine McDonough, University of Pittsburgh
   • Bibek Paudel, Stanford University
   • Beth Prusaczyk, Washington University in St. Louis
   • Elizabeth Rasch, National Institutes of Health Clinical Center
   • Angus Roberts, King’s College London
   • Carolyn Penstein Rosé, Carnegie Mellon University
   • Maryanne Sacco, National Institutes of Health Clinical Center
   • Sunghwan Sohn, Mayo Clinic
   • Robert Stewart, King’s College London
   • Sumithra Velupillai, King’s College London
Acknowledgments
The organizers of AI4Function 2020 wish to thank the program committee members for their
hard work in ensuring a diverse and high-quality program through their thoughtful reviews.
We are also grateful to our panel members for their engaging contributions to the workshop.
Finally, we would like to thank the organizers of IJCAI-PRICAI 2020 for hosting the workshop.
The workshop was supported in part by the Intramural Research Program of the National
Institutes of Health and the U.S. Social Security Administration.

</pre>