Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection [poster] [Zoom Link] (Morning Section) - Jia-Xing Zhong (Department of Computer Science, University of Oxford), hongbo zhang (Department of Computer and Information Sciences, Virginia Military Institute)

Super Learner Model to Detect Abnormalities - OCT and blood smear imaging case studies [poster] [Zoom Link] (Morning Section) - Dipam Paul (KIIT University), Alankrita Tewari (KIIT University), Imon Banerjee (Emory University)

Unified Evaluation Of Neural Network Calibration & Refinement [poster] [Zoom Link] (Morning Section) - Aditya Singh (Zebra Technologies), Alessandro Bay (Zebra Technologies), Andrea Mirabile (Zebra Technologies)

Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images [poster] [Zoom Link] (Afternoon Section) - Tinu Theckel Joy (IBM Research - Australia), Suman Sedai (IBM Research Australia), Rahil Garnavi (IBM Research Australia)

Interpretable Classifiers for Mulit-label Arrhythmia with 12-Lead Electrocardiograms [poster] [Zoom Link] (Morning Section) - Po-Ya Hsu (UC San Diego), Po-Han Hsu (UC San Diego), Tsung-Han Lee (UC San Diego), Hsin-Li Liu (Central Taiwan University of Science and Technology)

Automated Evaluation of Representation in Dermatology Educational Materials [poster] [Zoom Link] (Morning Section) - Girmaw Abebe Tadesse (IBM), Hannah Kim (Duke University), Roxana Daneshjou (Stanford University), Celia Cintas (IBM Research), Kush Varshney (IBM Research), Ademide Adelekun (University of Pennsylvania), Jules Lipoff (University of Pennsylvania), Ginikanwa Onyekab (University of Pennsylvania), Veronica Rotemberg (Memorial Sloan-Kettering Cancer Cenrter), James Zou (Stanford University)

An Attention Mechanism using Multiple Knowledge Sources for COVID-19 Detection from CT Images [poster] [Zoom Link] (Afternoon Section) - Duy Nguyen Ho Minh (German Research Center for Artificial Intelligence), Manh-Duy Nguyen (Dublin City University), Huong Vu Thi (University of California, Berkeley), Thanh Binh Nguyen (University of Science), Fabrizio Nunnari (DFKI GmbH), Daniel Sonntag (DFKI)

Clinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR) – Changing the Way we Validate Classification Algorithms [poster] [Zoom Link] (Morning Section) - Vasantha Kumar Venugopal (CARING, Mahajan Imaging), Vidur Mahajan (CARING, Mahajan Imaging Centre), Rohit Takhar (CARING, Mahajan Imaging), Salil Gupta (CARING, Mahajan Imaging)

Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability [poster] [Zoom Link] (Afternoon Section) - Hyunjung Kwak (Hong Kong University of Science and Technology), Christina Chen (MIT), Lowell Ling (CUHK), Erina Ghosh (Philips Research North Americs), Leo Celi (BIDMC), Pan Hui (Hong Kong University of Science and Technology)

Explainability Matters: Backdoor Attacks on Medical Imaging [poster] [Zoom Link] (Morning Section) - Munachiso Nwadike (New York University), Takumi Miyawaki (New York University Abu Dhabi), Esha Sarkar (NYU Tandon School of Engineering), Michail Maniatakos (New York University Abu Dhabi), Farah Shamout (New York University)

Explanation Strategies for Trustworthy AI Diagnostic Systems: Examining Physicians’ Explanatory Reasoning in Re-diagnosis Scenarios [poster] [Zoom Link] (Morning Section) - Lamia Alam (Michigan Technological University)

Designing for AI Explainability in Clinical Context [poster] [Zoom Link] (Morning Section) - Daniel Gruen (RPI), Shruthi Chari (RPI), Oshani Seneviratne (RPI), Deborah McGuinness (Rensselaer Polytechnic Institute), Morgan Foreman (IBM), Amar Das (IBM)

Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks [poster] [Zoom Link] (Morning Section) - Byunggill Joe (KAIST), Akshay Mehra (Tulane University), Insik Shin (KAIST), Jihun Hamm (Tulane University)

Towards Cotenable and Causal Shapley Feature Explanations [poster] [Zoom Link] (Morning Section) - Tony Liu (University of Pennsylvania), Lyle Ungar (University of Pennsylvania)

Towards Fairness in Classifying Medical Conversations into SOAP Sections [poster] [Zoom Link] (Morning Section) - Elisa Ferracane (Abridge AI Inc), Sandeep Konam (Abridge AI Inc)

Graphical Models For Rare Sequence Variant Interpretation [poster] [Zoom Link] (Morning Section) - Arun Nampally (Invitae), Eugene Palovcak (Invitae), Garrett Bernstein (Invitae), Matthew Davis (Invitae)

Combining Aleatoric and Epistemic Uncertainties for Robust Healthcare Decision-Making [poster] [Zoom Link] (Afternoon Section) - Zhiyin Lin (Oregon Episcopal School), Samuel Saarinen (Brown University), Michael Littman (Brown University)

Bias in Clinical Risk Prediction Models: Challenges in Application to Observational Health Data [poster] [Webex Link] (Morning Section) - Yoonyoung Park (IBM Research), Moninder Singh (IBM Research), Issa Sylla (IBM Research), Elaine Xiao (IBM Research), Jianying Hu (IBM), Amar Das (IBM Research)

Towards Verifying Results from Biomedical NLP Machine Learning Models Using the UMLS: Cases of Classification and Named Entity Recognition [poster] [Zoom Link] (Morning Section) - Waheeda Saib (IBM Research), Joan Byamugisha (IBM Research), Maletsabisa Molapo (IBM Research), Theodore Gaelejwe (IBM Research), Asad Jeewa (IBM Research)

TF-IDF Weighted Similarity Estimates for Unseen Categories [poster] [Zoom Link] (Morning Section) - Handong Bang (Ancestry), Feng-Chang Lin (UNC Chapel Hill), Michael Kosorok (UNC Chapel Hill), Alex Comerfield (Bloomberg)

Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection [poster] [Zoom Link] (Afternoon Section) - Krishanu Sarker (Georgia State University), Sharbani Pandit (Georgia Institute of Technology), Anupam Sarker (Institute of Epidemiology, Disease Control and Research), Saeid Belkasim (Georgia State university), Shihao Ji (Georgia State University)

Algorithmic Selection of Patients for Case Management: Alternative Proxies to Healthcare Costs [poster] [Webex Link] (Morning and Afternoon Sections) - Moninder Singh (IBM Research)

Ethical Issues in Biomarker Discovery for Precision Psychiatry [poster] [Zoom Link] (Morning Section) - Manjari Narayan (Stanford University)