AMIA 2022 Annual Symposium AI Showcase

Oral Presentations

November 8, 2022 | 8:30 a.m. – 10:30 a.m.

Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data

• Fuchiang (Rich) Tsui, Children's Hospital of Philadelphia

Enhancing an AI-Empowered Periodontal CDSS and Comparing with Traditional Perio-risk Assessment Tools

• Jay Patel, Temple University

Evaluation of the Impact of a 90-day Mortality Prediction Model Integrated in the EHR for Advanced Care Planning

• Lorenzo Rossi, City of Hope National Medical Center

Development of a Clinical Decision Support System to Predict Unplanned Cancer Readmissions

• Danny Wu, University of Cincinnati College of Medicine

Poster Presentations

November 7, 2022 | 5:00 p.m. – 6:30 p.m.

November 8, 2022 | 5:00 p.m. – 6:30 p.m.

A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping

• Arianna Dagliati, university of Pavia

Comprehensive Evaluation of Health Impact of an ML-Based CDS Solution Integrated with Remote Device: Protocol for RCT in Children with Asthma

• Lynnea Myers, Mayo Clinic, Karolinska Institutet

Automated and accessible diagnosis of age-related macular degeneration: a comparative analysis of the impact of machine learning models in clinical diagnostic workflows

• Qingyu Chen, National Institutes of Health

Healthcare Impacts of Real-Time Sepsis Risk Prediction Workflows for Hematopoietic Cell Transplant Recipients

• Cameron Carlin, City of Hope National Medical Center

A Theory-based Evaluation of a Clinical Decision Support System to Predict New Onset of Delirium

• Siru Liu, Vanderbilt University

Evaluating a vendor-derived pediatric sepsis predictive model in acute care settings

• Daniel Liu, University of Arkansas for Medical Sciences