a 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.
Online
The workshop was held on August 20–21, 2021, as a virtual event (due to the COVID-19 pandemic) co-located with the 2021 International Joint Conference on Artificial Intelligence (IJCAI 2021). In addition to the papers included in these proceedings, the program included: • A keynote presentation from Dr. Bambang Parmanto (University of Pittsburgh). • A panel discussion regarding data sources and technologies for analyzing information on function and disability.
Program Committee • Thomas Bulea, National Institutes of Health Clinical Center • Chih-Hung Chang, Washington University in St. Louis • Guy Divita, National Institutes of Health Clinical Center • Tome Eftimov, Jozef Stefan Institute • Reuben Escorpizo, University of Vermont • Pei-Shu Ho, National Institutes of Health Clinical Center • Young Ji Lee, University of Pittsburgh • Beth Marfeo, Tufts University • Christine McDonough, University of Pittsburgh • Gina McKernan, University of Pittsburgh • Julia Porcino, National Institutes of Health Clinical Center • Elizabeth Rasch, National Institutes of Health Clinical Center • Kirk Roberts, University of Texas Health • Carolyn Penstein Rosé, Carnegie Mellon University • Chloe Shearer, University of Pittsburgh • Sunghwan Sohn, Mayo Clinic Acknowledgments The organizers of AI4Function 2021 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 2021 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.