THIA 22 Conference Agenda
Time
Topic and Speaker
8:00 – 8:30 AM
Registration and Breakfast
8:30 – 9:00 AM
Welcome and Opening Remarks
President Jennifer Cowley, UT Arlington
Dr. Marion J. Ball, UT Arlington
9:00 – 10:00 AM
Opening Keynote
Bryan Vartabedian, MD, FAAP, Texas Children’s Hospital
The Public Physician | Professional Wisdom for Life in a Connected, Always-on World
Introduced by: Dr. Gabriela Mustata Wilson, UT Arlington
10:00 – 10:30 AM
Presentation
Dr. Christoph U. Lehmann, UT Southwestern
Ethical Considerations for the Use of AI
Introduced by: Dr. Susan H. Fenton, UTHealth School of Biomedical Informatics
10:30 – 10:45 AM
Break
10:45 – 12:00 PM
Focus Session: Artificial Intelligence and Machine Learning Transforming Health
Dr. Jenny Weon, UT Southwestern
Outpatient Data Curation for Predictive Modeling of Iron Deficiency Anemia
Ana Aleksandric and Henry Anderson, UT Arlington
Not all Emotions are Equal: Facebook Data, an Indicator of COVID-19 Vaccine Hesitancy in Texas
Dr. John Robert Bautista, UT Austin
Development and Validation of the AI Ethical Concerns Inventory – Healthcare (AIECIH)
Dr. Shakera Moreland, HIM Concierge Services, LLC
Evidence-based Recruiting for Artificial Intelligence and Machine Learning Talent
Moderated by: Dr. Usha Sambamoorthi, The University of North Texas, Health Science Center at Fort Worth
12:00 – 12:45 PM
Lunch and Networking
12:45 – 1:15 PM
Poster Session
Dr. John Hanna, UT Southwestern
Is It Time for Personalized Social Media Health Tabs?
Dr. Saket Girotra, UT Southwestern
Ankle and Toe-Brachial Index for Peripheral Artery Disease Identification: Unlocking Clinical Data through Novel Methods
Dr. Mark Mann, Texas Woman’s University
A 21st Century Game Programming Paradigm
Carolina Ramierz Tamayo, UT San Antonio
Differentiating Experience Level of Radiologists: An Educational Framework to Improve the Quality of Chest X-ray Scanning
Dr. Avinash Thangirala, NYU Langon
Prediction of post-operative failure of extubation using automated machine learning (AutoML) algorithms with AutoGluon using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database
12:45 – 1:15 PM
Exhibitors Session
- Commonwealth Informatics
- Dallas-Fort Worth Hospital Council Education & Research Foundation
- Innovaccer
- University of Texas at Arlington SMART Hospital, College of Nursing and Health Innovation
- University of Texas at Arlington College of Nursing and Health Innovation
- University of Texas at Arlington Multi-Interprofessional Center for Health Informatics
- DFW ANIA Chapter
- UT Health Houston School of Biomedical Informatics
- Agillaire, Inc.
- UT Southwestern Clinical Informatics Center
1:15 – 2:05 PM
Panel Session: Who is responsible? AI Legal and Ethical Implications in Healthcare
Vice Chair, Imaging Informatics
Professor, Radiology, Internal Medicine
UT Southwestern Medical Center
Assistant Dean for Simulation and Technology
Clinical Assistant Professor
College of Nursing and Health Innovation
University of Texas at Arlington
Professor of Pharmacotherapy, Associate Dean for Health Outcomes Research
The University of North Texas, Health Science Center at Fort Worth
Edward H. Shortliffe, MD, PhD
Chair Emeritus & Adjunct Professor in the Department of Biomedical Informatics at Columbia University’s Vagelos College of Physicians and Surgeons
Adjunct Professor of Biomedical Informatics in the College of Health Solutions at Arizona State University
Adjunct Professor of Population Health Sciences (Health Informatics) at Weill Cornell Medical College
Myrna R. Pickard Endowed Professor
College of Nursing and Health Innovation
University of Texas at Arlington
Moderated by: Dr. Christoph U. Lehmann, UT Southwestern
2:05 – 2:15 PM
Break
2:15 – 3:00 PM
Lightning Talks: AI and ML Solutions to Solve Complex Challenges
Dr. Jawahar Jagarapu, UT Southwestern
Breastfeeding and COVID-19: A Discussion on Twitter
Dr. Estefanie Garduno, UT Southwestern
Predicting heart disease through supervised machine learning algorithms
Christian Lee, TCU School of Medicine
Predictive features of cardiac arrest in COVID-19 patients using machine learning
Dr. Shirin Nilizadeh, UT Arlington.
Twitter Users’ Behavioral Responses to Toxic Replies
Paul Murdock, TCU School of Medicine
Evaluating the Use of HoloLens for Patient Education Pre- and Post-Op
AI and ML Technology in Data Visualization Reporting Software: Benefits for Healthcare Professionals in Cost, Ease of Implementation, and AI Knowledge Creation and Management
Moderated by: Dr. Susan H. Fenton, UTHealth School of Biomedical Informatics
3:00 – 4:00 PM
Closing Keynote
Edward H. Shortliffe, MD, PhD
The Evolution of AI in Medicine: How the Past Informs the Future
Introduced by: Dr. Christoph U. Lehmann, UT Southwestern
Closing remarks
Dr. Susan H. Fenton, UTHealth School of Biomedical Informatics
4:00 – 5:00 PM
Reception