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Enhancing Inter-institutional AI Research Collaboration Across Multidisciplinary Teams to Increase the National AI
Toufeeq Ahmed Syed1, Sarah Popal1, D'Laney Kernan1
1The University of Texas Health Science Center at Houston, Houston, Texas, United States.
Abstract:
Inter-institutional team collaboration is critical for impactful multidisciplinary AI research in healthcare. The goal of our project (AIM-AHEAD Connect) is to increase multidisciplinary collaborations by connecting AI/ML experts and healthcare researchers, trainees and professionals to enhance research and improve health for all Americans. As of February 2026, AIM-AHEAD Connect has over 10,100 AI/ML and healthcare experts from across 2,400 institutions, has made more than 7,800 connections and facilitated 194 collaborative online groups. We conducted a unique study to understand collaboration, and analyzed profile, connection, and platform engagement metrics to determine if AI experts and healthcare researchers with more inter-institutional connections are more successful in obtaining research and training funding. By creating this bridge to foster collaborations between AI/ML experts and healthcare professionals, this project has created a unique space to enhance healthcare outcomes for all.
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