Marty Stempniak
September 10, 2026
A San Francisco startup is seeking to solve the U.S. radiologist shortage by launching a new “AI-native” imaging group, claiming it can harness the technology to deliver faster interpretations.
Epsilon Health officially emerged from “stealth” mode on Thursday, announcing it has raised nearly $28 million from investors. Founded in 2024, Epsilon says it is different from other existing radiology AI companies that build models for a single disease or imaging modality.
Instead, the startup is taking a “fundamentally different approach” by becoming the “radiology practice itself.” Epsilon offers “purpose-built AI” that integrates directly into the work of board-certified radiologists. This, it claims, can dramatically accelerate interpretations while “preserving how providers already deliver care.”
“Growing up around my dadʼs imaging practice, I saw firsthand the profound impact of misdiagnosis. When a diagnosis is missed or delayed, it can quickly change the course of someone’s life,” Rustin Rassoli, founder and CEO of Epsilon Health, who studied mathematics and computer science at the University of Texas at Austin, said in a statement Sept. 10. “Americaʼs growing shortage of radiologists is putting real lives at even greater risk—the system is collapsing, and patients are bearing the brunt of it.