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THIA 22 Conference Agenda

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Time

Topic and Speaker

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8:00 – 8:30 AM

Registration and Breakfast 

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8:30 – 9:00 AM

Welcome and Opening Remarks

President Jennifer Cowley, UT Arlington

Dr. Marion J. Ball, UT Arlington

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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

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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

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10:30 – 10:45 AM

Break

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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

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12:00 – 12:45 PM

Lunch and Networking

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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
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12:45 – 1:15 PM

Exhibitors Session
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1:15 – 2:05 PM

Panel Session: Who is responsible? AI Legal and Ethical Implications in Healthcare

Dr. Ronald Peshock

Vice Chair, Imaging Informatics
Professor, Radiology, Internal Medicine
UT Southwestern Medical Center

Dr. Jennifer Roye

Assistant Dean for Simulation and Technology

Clinical Assistant Professor

College of Nursing and Health Innovation

University of Texas at Arlington

Dr. Usha Sambamoorth

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

Dr. Mari Tietze

Myrna R. Pickard Endowed Professor

College of Nursing and Health Innovation

University of Texas at Arlington

 Moderated by: Dr. Christoph U. Lehmann, UT Southwestern

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2:05 – 2:15 PM

Break

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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

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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

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4:00 – 5:00 PM

Reception