Enhancing Inter-institutional AI Research Collaboration Across Multidisciplinary Teams to Increase the National AI Workforce in Healthcare.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science Pub Date : 2026-06-01 eCollection Date: 2026-01-01

Toufeeq Ahmed Syed, Sarah Popal, D'Laney Kernan, Deevakar Rogith, Zulfiia Ditto, Paul Warhurst, Jay Johnson, Jamboor K Vishwanatha

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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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加强跨多学科团队的机构间人工智能研究合作，以增加医疗保健领域的国家人工智能劳动力。

机构间团队协作对于医疗保健领域有影响力的多学科人工智能研究至关重要。我们项目（AIM-AHEAD Connect）的目标是通过连接AI/ML专家和医疗保健研究人员、学员和专业人员来加强研究和改善所有美国人的健康，从而增加多学科合作。截至2026年2月，AIM-AHEAD Connect拥有来自2,400家机构的10,100多名AI/ML和医疗保健专家，建立了7,800多个连接，并促进了194个协作在线小组。我们进行了一项独特的研究来了解协作，并分析了个人资料、联系和平台参与度指标，以确定拥有更多机构间联系的人工智能专家和医疗保健研究人员是否更能成功地获得研究和培训资金。通过建立这个促进人工智能/机器学习专家和医疗保健专业人员之间合作的桥梁，该项目创造了一个独特的空间，以提高所有人的医疗保健结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

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