Challenges and Opportunities to Deploying Artificial Intelligence Solutions in Low and Middle Income Countries

Presentation Time: 09:45 AM - 11:00 AM

Abstract Keywords: Global Health, Artificial Intelligence, Environmental Health and Climate Informatics, Health Equity
Working Group: Global Health Informatics Working Group
Primary Track: Applications
Programmatic Theme: Public Health Informatics

Global health informatics (GHI) leverages technologies such as e-Health, mHealth, and telehealth to improve healthcare access in low- and middle-income countries (LMICs). The rapid growth of AI and machine learning (ML) in GHI research has the potential to address healthcare challenges in resource-limited settings, but issues such as technology access, workforce capacity, and ethical deployment remain. This panel of experts will share their experiences in developing AI/ML-driven informatics solutions and challenges and solutions to AI deployment from an environmental sustainability perspective. Attendees will gain insights into the challenges of AI deployment in LMICs, innovative solutions, and best practices for selecting appropriate technologies and methodologies.

Moderator:
Elizabeth Campbell, MS, MSPH, PhD
Johns Hopkins Bloomberg School of Public Health

Speakers:
Arriel Benis, PhD
Holon Institute of Technology

Titus Schleyer, DMD, PhD, MBA
Regenstrief Institute

Hamish Fraser, MBChB, MRCP, MSc
Brown University

Yuri Quintana, PhD
Beth Israel Deaconess Medical Center

Authors:
Elizabeth Campbell, MS, MSPH, PhD - Johns Hopkins Bloomberg School of Public Health; Titus Schleyer, DMD, PhD, MBA - Regenstrief Institute; Hamish Fraser, MBChB, MRCP, MSc - Brown University; Arriel Benis, PhD, FIASHI - Holon Institute of Technology; Yuri Quintana, PhD - Beth Israel Deaconess Medical Center;

---