June 10, 2026 — Rad AI has announced a strategic partnership with Yale New Haven Health System (YNHH), where YNHHS will deploy Rad AI solutions across its imaging network, spanning more than 16 outpatient imaging centers and five hospital campuses, to automate and streamline the radiology reporting process.
Across YNHHS’ multi-site network, which manages more than 700,000 annual radiology exams, radiologists were often challenged by administrative burdens and significant workflow friction, including fragmentation, repetitive speech corrections and manual data entry, which can slow workflows, increase administrative burden and create additional complexity for radiologists. To accelerate the pace and quality of medical imaging, the institution chose to adopt a radiologist-first AI reporting solution.
Reporting System Partnership
In its search for a reporting partner, YNHHS sought a more open and flexible platform capable of integrating across its existing clinical and diagnostic systems. Rad AI was selected for its ability to integrate with existing systems and improve radiologists’ day-to-day experience. Rad AI helps reduce documentation burden, automate repetitive tasks and improve workflow efficiency, allowing radiologists to remain focused on patient care rather than administrative work.
"As an academic medical center, our priority is always to advance the quality of patient care. In evaluating the future of our radiology infrastructure, we realized that standard software vendors couldn’t keep pace with our evolving needs; we required a true co-development partner, capable of building alongside us,” said Christopher Whitlow, MD, PhD, YNHHS Radiologist-in-Chief and Chair, Department of Radiology and Biomedical Imaging at Yale School of Medicine. “Together, we’re able to build specialized solutions while empowering our radiologists to focus entirely on clinical judgment and deliver clearer, more actionable insights for patient care.”
While reporting software has been a staple in radiology, this collaboration represents a shift away from treating the report as an isolated administrative task to leveraging it as an essential tool for the entire healthcare ecosystem. By pairing Rad AI’s ability to seamlessly automate the documentation process with Yale’s clinical research expertise, the partnership will not only elevate report quality but also drive joint clinical research and allow for the co-development of specialized AI tools to meet YNHHS’ unique needs.
“Radiologists have spent years adapting their workflows around systems that were never truly designed for the realities of modern radiology,” said Doktor Gurson, co-founder and CEO of Rad AI. “As a company founded by radiologists, we understand how critical speed, accuracy and clarity are in high-volume environments, and this partnership reflects a growing recognition that reporting software must work naturally within the clinical workflow, not create more friction for the teams delivering care.”
September 11, 2026 
