Please join us for the Symposium on Bridging Disparities in Health Care Using Artificial Intelligence
- Date: Friday, November 22, 2024 from 8:30 am to 5:00 pm
- Location: II Monastero, Saint Louis University, St Louis, MO
- Registration: Free
- Registration Deadline: November 1st 2024
- Registration Form
- Contact email: charles.love@slu.edu
While the utilization of artificial intelligence (AI) in health care may facilitate the development of a more equitable system, its use in medicine raises important ethical considerations. AI technologies are fundamentally changing how data is acquired, processed, and analyzed in virtually every aspect of health care. Data from a single patient can be instantly compared to millions of others. Complex symptomatology can be reduced and rationalized with unprecedented speed and accuracy. Confidence in technologies not only have the potential to extend high-quality care to a greater number of people, but they also can help resolve important inequalities by extending the reach of medicine to rural populations, disenfranchised socioeconomic groups, and medically isolated global communities. Improved computing algorithms sensitive to local needs can better manage access to vital health care and medications. In addition, limited health care resources such as transplantable organs can be better matched and allocated to recipients while reducing the waste of unused or damaged organs.
Yet, AI presents unique challenges to privacy, autonomy, and justice. Limitations of AI technologies, including lack of transparency, interpretability, programming biases, and operator complacency are just some of the issues that must be considered as these systems become more integrated within health care. Responding to these potential risks is necessary to ensure that AI technologies maximally benefit society. This symposium is intended to explore the frontiers of modern medicine enabled by AI. It will focus on opportunities for improving access to health care for marginalized patient populations and ameliorating health disparities through the application of AI, including evolving practical and ethical concerns. This will be an opportunity to explore the multifaceted aspects of AI utilization in health care with a focus on how AI can improve the challenges associated with the delivery of precision medicine, such as more targeted organ matching, while protecting the ethical boundaries in which it must operate.
The symposium will feature three plenary speakers:
Proposal Submissions have been closed.
Physicians, researchers, and scholars, including graduate and professional students, are invited to submit proposals on topics that pertain to practical and ethical opportunities and challenges related to AI’s capacity to address inequality and promote fairness in health care, particularly with respect to organ transplantation. In addition, proposals for panels representing public stakeholders, such as health policymakers and patient populations, would be especially welcome.
A registration link for the event can be found here: Symposium Registration
We look forward to seeing you for great networking and stimulating conversations.
For those who are traveling, please see this list of preferred hotels by SLU:
Tentative Schedule:
We are happy to announce the tentative schedule for the AI Ethics Symposium on November 22nd, 2024. We will start the morning with presentations from our three plenary speakers: Alison L. Antes of Washington University School of Medicine, Benjamin Collins of Vanderbilt University Medical Center, and S. Matthew Liao of NYU School of Global Public Health.
Later in the afternoon, we will have parallel sessions for those whose abstracts were approved. Please take a look at the schedule for the afternoon panels below. We can’t wait to see you there.
If you have not yet registered, please register here: Registration Form
- Registration closes on November 1st, 2024.
Afternoon panel presentation sessions:
