The early movers in clinician-focused AI didn't just build products, they built trust. Abridge and Doximity pioneered platforms shaped by deep physician involvement, rigorous attention to data privacy, and an understanding that in healthcare, security and reliability aren't features, they're prerequisites. As AI becomes embedded in care delivery, those early decisions about how to earn clinician trust are now defining what separates enduring platforms from flash-in-the-pan solutions. But moving first doesn't guarantee staying relevant. There is constant pressure to evolve and scale responsibly in an increasingly crowded market. Further, a new generation of clinicians and patients bring different expectations around technology, transparency, and institutional credibility. What does that mean for how AI companies build, communicate, and maintain long-term relationships with their users? Hear from two digital health luminaries on how today's leaders should be thinking about trust, scale and staying power in healthcare AI.
