Abstract Submission Information

Invitation to Contribute / Call for Abstracts

Artificial Intelligence (AI) and Machine Learning (ML) are gaining ground in healthcare and are being used in image recognition, risk prediction, treatment recommendations, and many other domains in medicine. These new technologies possess the potential to improve the quality and precision in care, however also carry the risk of bias and disparities.

The motto for the Second Annual Texas Health Informatics Alliance Conference will be “ALL IN: Artificial Intelligence and Machine Learning to Accelerate Health”. We invite researchers, developers, health professionals, information management professionals, data and information scientists, and students to submit abstracts. While we anticipate that the focus will be on the AI and ML topics listed below, we welcome contributions addressing other relevant topics in AI or ML or in the field of general Health Informatics.

A peer review process will evaluate the abstract proposals based on the following criteria: innovation, interactive elements, speaker experience, science and originality of the material, timeliness of the information, clarity, and educational value. Abstracts submission requirements are below. An independent panel of judges will invite the top submissions for a presentation. Abstract Submissions are due by July, 18 2022. Authors of accepted presentations will be notified in late July to early August.

The Conference Registration fee will be waived for Abstract submissions selected for Plenary, Focus, and Lighting Talks. If registration has been paid and the abstract is selected, the attendee shall receive a refund. Those selected will be required to cover their own travel accommodations.

Formats:

• Plenary Presentation: Each plenary presentation will be 20 minutes and an additional 10 minutes for questions.
• Focus Presentations: Each focus presentation will be 10 minutes and an additional 5 minutes for questions.
• Lightning Talk Presentation: Each lightning talk presentation will be 5 minutes with a rapid question and answer session at the end of the session.
• Poster Presentations: Poster presentation session will be 45 minutes.

Themes:

Theme 1: AI and ML in Health

•  AI and ML and Healthcare Quality
  •  AI and ML and disease detection, treatment, and management to advance healthcare and diagnostics at the point of care
•  Role of AI and ML in Telehealth
•  Social Determinants, Health Equity and Disparities in AI and ML
  •  Improving health equity with ethical AI and ML
  • Health Equity and Disparities in AI and ML for STEM and or Non-STEM disciplines (high school, community college, university, graduate, and professional levels)

Theme 2: AI and ML in Consumer Informatics

• The role of health informaticians in AI and ML
• The growing role of AI and ML in mHealth Apps
  • mHealth Apps and AI and ML for chronic disease management
  • mHealth Apps and health equity

Theme 3: Community empowerment in AI and ML

• AI and ML 101 for the community
• AI and ML and allied health professions
• AI and ML in Knowledge Management
• Community engagement/involvement in AI and ML
• Consumer case studies – tool based, implementation
• Clinician case studies – tool based, implementation