IMPACT-AI

Artificial intelligence is rapidly reshaping what is possible in healthcare—from diagnosis and prediction to treatment and delivery of care. Realizing this potential requires more than technology alone; it requires coordinated expertise, rigorous science, and meaningful collaboration.

The Internal Medicine Platform for Advancing Collaboration and Training in AI (IMPACT-AI) is a departmental hub within the Yale Department of Internal Medicine dedicated to advancing patient-centered AI research. By bringing together clinicians, researchers, and data scientists, IMPACT-AI creates a shared environment to develop, evaluate, and translate innovative AI approaches that improve healthcare.

To accelerate high-quality, patient-centered AI research by fostering collaboration, strengthening expertise, and supporting the next generation of clinical innovators.

• Expert Support
  Connect clinicians, researchers, and data scientists to expert guidance on study design, methodology, and AI implementation for new research ideas.
• Education & Training
  Build AI and research skills through structured training, mentorship, and practical learning opportunities for faculty, trainees, and staff.
• In-Person Events
  Facilitate engagement through seminars, workshops, speaker series, and networking events that foster collaboration and idea exchange.
• Resource Showcase
  Highlight tools, datasets, templates, best practices, and exemplar projects that support high-quality, scalable AI research in healthcare.

IMPACT-AI is led by a core team spanning scientific, operational, and data science expertise, supported by a broad network of Internal Medicine faculty. Together, this team brings clinical insight and technical excellence to AI projects and fosters collaboration across specialties.