Vol-3068
urn:nbn:de:0074-3068-5

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

AAAI-HUMAN 2021
Human Partnership with Medical AI: Design, Operationalization, and Ethics

Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics (AAAI-HUMAN 2021)

Virtual Event, November 4-6, 2021.

Edited by

Thomas E. Doyle †
Aisling Kelliher
Reza Samavi †
Barbara Barry +
Steven Yule --
Sarah Parker ++
Michael Noseworthy
Qian Yang *-

* McMaster University, Department of Electrical and Computer Engineering, Hamilton, Ontario, Canada
** Virginia Tech, Department of Computer Science, Blacksburg, Virginia, USA
*** Ryerson University, Department of Electrical and Computer Engineering, Toronto, Ontario, Canada
*+ Mayo Clinic, Division of Health Care Delivery Research, Scottsdale, Arizona, USA
*++ Virginia Tech, Health Innovation and Implementation Science, Blacksburg, Virginia, USA
*- Cornell University, Bowers College of Computing and Information Science, Ithaca, New York, USA
*-- University of Edinburgh, Behavioural Sciences and Clinical Surgery, Edinburgh, Scotland, United Kingdom
† Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada

Table of Contents

Preface
Thomas E. Doyle, Reza Samavi, Aisling Kelliher

Session: Short Papers

Are Clinical BERT Models Privacy Preserving? The Difficulty of Extracting Patient-Condition Associations
Thomas Vakili, Hercules Dalianis
Multimodal Explanations for User-centric Medical Decision Support Systems
Bettina Finzel, David Elias Tafler, Anna Magdalena Thaler, Ute Schmid
PseudoNAM: A Pseudo Value Based Interpretable Neural Additive Model for Survival Analysis
Md Mahmudur Rahman, Sanjay Purushotham
Collaborative Human-ML Decision Making Using Experts’ Privileged Information Under Uncertainty
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Technical Feasibility, Financial Viability, and Clinician Acceptance: On the Many Challenges to AI in Clinical Practice
Nur Yildirim, John Zimmerman, Sarah Preum
Automatic Medical Text Simplification: Challenges of Data Quality and Curation
Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Sohyeong Kim, Qian Yang
Grading OSPE Questions with Decision Learning Trees: A First Step Towards an Intelligent Tutoring System for Anatomical Education
Jason Bernard, Bruce Wainman, O’llenecia Walker, Courtney Pitt, Alex Bak, Josh Mitchell, Anthony Saraco, Ilana Bayer, Ranil Sonnadara

2021-12-22: submitted by Thomas Doyle, Yi Jui Lee, metadata incl. bibliographic data published under Creative Commons CC0
2022-01-10: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|