We're a community of 10,000+ Artificial Intelligence and Healthcare Experts
Lead, recruit, and coordinate the AIM-AHEAD Consortium
Assess, develop, and implement data science training curriculum
Assess data and computing infrastructure for AI/ML and health research
Address priorities and needs for AI/ML research with electronic health records
Connect with innovators driving the future of AI/ML in health. The 2026 AIM-AHEAD Annual Meeting will convene researchers, institutions, community partners, and program leaders from across the country to share insights, showcase innovation, and strengthen the national AIM-AHEAD ecosystem. Together, we’re building the workforce, infrastructure, and partnerships needed to transform healthcare through AI. More details coming soon!
Explore the latest news, stories, and initiatives shaping the future of AI/ML healthcare innovation across our national network.
Dedicated office hour working with the AADB Data Bridge and MedStar’s pre-curated and custom-curated EHR datasets.
This session will review the attention and intention required for AI applications in the high-stakes world of healthcare.
Analysts will be available to discuss available data and project feasibility and to query aggregate data via OCHIN’s Cohort Discovery tool.
We are a community of 10,142 researchers focused on leveraging AI/ML in biomedical research to improve healthcare, including 6,605 trainees, 2,229 experts, and 190 active discussion groups. AIM-AHEAD Connect is developed and maintained by the Communications Hub.
Connect with a vast network of mentors and mentees nationwide for advice and guidance.
Build your Mentoring network to further your career, upload your CV, search for members and their CVs and research interests.
Learn through free AI/ML courses designed for researchers, clinicians, and innovators. Explore the full course catalog and advance your skills today.
“Hallmarks of Success” are goals for the AIM-AHEAD Consortium to strive towards. These hallmarks have been aligned to AIM-AHEAD’s four North Stars, and is included in the AIM-AHEAD Coordinating Center (A-CC) evaluation plan. Cores, hubs, and consortium partners will report on how their activities contribute to which hallmark(s) to track progress.
Through the implementation of a two-phase funding model, PAIR has connected awardee institutions from across the United States with AIM-AHEAD resources, AI/ML and health experts, and grant-writing coaches to help establish AI/ML Health Research Labs which host cross-disciplinary teams for research projects and grant writing.
AI is evolving rapidly. This course equips participants with strategies, resources, and frameworks to track emerging technologies, assess their relevance, and responsibly integrate new AI/ML advances into research and practice.