Faculty, Staff and Student Publications
Language
English
Publication Date
1-1-2026
Journal
AMIA Summits on Translational Science Proceedings
PMID
42317816
PMCID
PMC13274375
PubMedCentral® Posted Date
6-1-2026
PubMedCentral® Full Text Version
Post-print
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.
Published Open-Access
yes
Recommended Citation
Syed, Toufeeq Ahmed; Popal, Sarah; Kernan, D'Laney; et al., "Enhancing Inter-institutional AI Research Collaboration Across Multidisciplinary Teams to Increase the National AI Workforce in Healthcare" (2026). Faculty, Staff and Student Publications. 994.
https://digitalcommons.library.tmc.edu/uthshis_docs/994