CONFERENCE 2024

HEALTH AI FOR ALL

WHEN

April 4, 2024

WHERE

Austin, TX

Overview

Background

As AI systems like Chat GPT and Generative AI become increasingly integrated into our lives, they wield significant influence across various domains. From entertainment and the arts to the routine products we use in our daily lives, AI’s presence is increasingly evident. However, the impact of AI is most profoundly felt in high-stakes domains like health care, an arena with life-and-death consequences and profound implications for well-being.

AI’s role in health care is no longer a matter of science fiction. Practitioners in various fields — from radiology to mental health — are already integrating AI into their work. The promises of Health Artificial Intelligence (Health AI) are many and include advances in predictive, prevention-oriented, and personalized care. Despite its potential, however, the inclusive design and deployment of AI-based health care remains a challenge, and a critical question remains: How do we design Health AI to ensure that the benefits of precision health and augmented clinical decision-making are accessible to all segments of society?

Health AI for All: Conference Goals

The AI Health for All conference will explore the both the opportunities and challenges of AI in health care, focusing on equitable and ethical design and deployment. Researchers, health practitioners, and community advocates will come together to consider the social, technical, clinical, ethical, and policy implications of deploying AI in historically underserved communities, both rural and urban. Through a series of presentations and discussions, conference-goers will chart a future where Health AI works for all, where biases are eliminated, and the benefits of AI are shared equitably among diverse populations.

Panels

1

Predictive Signals for Behavioral Health

This panel considers how AI techniques can be used to identify and predict social risk factors associated with behavioral health crises, such as suicide and opiod addiction. Drawing from research that uses computational techniques and natural language processing, panelists consider the range of data sources that can be probed to better identify the signals that may be predictive of behavioral health crises. The goal of this panel is to offer conference attendees some state-of-the-art solutions to better understand and address the drivers of crises.
2

Can AI Mitigate the Maternal Health Crisis?

One of the most poignant health care challenges in the U.S. is the steady decline in maternal health. According to the Center for Disease Control and Prevention, the maternal mortality rate rose from 20.1 deaths per 100,000 live births in 2019 to a rate of 32.9 deaths in 2021. With escalating postpartum depression and deaths among pregnant women, the U.S. is widely regarded as an outlier in maternal health outcomes among wealthy nations. In this panel, we address some of the structural factors that contribute to the decline in maternal health. Moreover, we learn about some of the ways researchers and practitioners are deploying artificial intelligence systems like chatbots and large language models to augment the delivery of more precision-oriented maternal health care.
3

Designing an Inclusive Health AI for All

This panel will move our conversation beyond the more technical aspects of AI towards the social aspects of bias and ethics. Drawing from a collaboration between the IC2 Institute and the Episcopal Health Foundation, this panel centers on the voices and perspectives of safety-net providers, community advocates and health equity. Among other questions this panel asks: How does the design and deployment of Health AI change when diverse perspectives inform our understanding of these systems and the potential risks and benefits they pose?
This panel considers how AI techniques can be used to identify and predict social risk factors associated with behavioral health crises, such as suicide and opiod addiction. Drawing from research that uses computational techniques and natural language processing, panelists consider the range of data sources that can be probed to better identify the signals that may be predictive of behavioral health crises. The goal of this panel is to offer conference attendees some state-of-the-art solutions to better understand and address the drivers of crises.

One of the most poignant health care challenges in the U.S. is the steady decline in maternal health. According to the Center for Disease Control and Prevention, the maternal mortality rate rose from 20.1 deaths per 100,000 live births in 2019 to a rate of 32.9 deaths in 2021. With escalating postpartum depression and deaths among pregnant women, the U.S. is widely regarded as an outlier in maternal health outcomes among wealthy nations. In this panel, we address some of the structural factors that contribute to the decline in maternal health. Moreover, we learn about some of the ways researchers and practitioners are deploying artificial intelligence systems like chatbots and large language models to augment the delivery of more precision-oriented maternal health care.

This panel will move our conversation beyond the more technical aspects of AI towards the social aspects of bias and ethics. Drawing from a collaboration between the IC2 Institute and the Episcopal Health Foundation, this panel centers on the voices and perspectives of safety-net providers, community advocates and health equity. Among other questions this panel asks: How does the design and deployment of Health AI change when diverse perspectives inform our understanding of these systems and the potential risks and benefits they pose?

Schedule (tentative)

THURSDAY, 4 APR 2024 Venue: Rowling Hall, AT&T Conference Center
8:15 AM – 9:00 AM Registration / Breakfasts Snacks
9:00 AM – 9:30 AM Welcome
9:30 AM – 10:15 AM Keynote Presentation
10:15 AM – 11:15 AM Panel 1: Predictive Signals for Behavioral Health
11:15 AM – 11:30 AM Networking Break
11:30 AM – 12:30 PM Panel 2: Can AI Mitigate the Maternal Health Crisis?
12:30 PM – 1:30 PM Lunch (provided)
1:30 PM – 2:15 PM Keynote Presentation
2:15 PM – 3:15 PM Panel 3: Designing an Inclusive Health AI for All
3:15 PM – 4:15 PM Wrap up Exercise: Pulling It All Together
4:15 PM – 4:45 PM Reporting Back: Highlights from the Wrap up Exercise
4:45 PM – 7:00 PM Cocktail Reception and Networking
7:00 PM onwards Dinner on your own

Venue

When and Where

Date and Time

Thursday, 4 APR 2024

8:15 am – 4:45 pm CST

Location

Guadalupe Room, Rowling Hall, 
AT&T Hotel and Conference Center,
1900 University Ave, Austin, TX 78705

Parking Instructions

Please park in either the Rowling Hall Garage at 300 W. MLK Blvd. (entrance is off of 20th St. ) OR the Conference Center Garage at 1900 University Ave (Under the AT&T Conference Center.) Attendees should bring their parking tickets to the conference check-in desk for validation.

Contact us

Have questions about the conference?

For conference-related queries, reach out to Adriann Oommen, our dedicated conference coordinator, at conference@ic2.utexas.edu. We value your inquiries and assure you a swift and helpful response.

Sponsor

Thank you to our sponsor, Good Systems.