The conversation around AI in healthcare is shifting, and not a moment too soon.
For years, we celebrated AI progress measured in faster analysis, cleaner summaries and increasingly sophisticated decision support. Those advances have been meaningful, but they’ve also created a false sense of momentum: the belief that better insights automatically translate into better care.
In reality, they don’t. Not yet, at least.
Across healthcare, and especially in oncology, AI now routinely surfaces evidence‑based recommendations during case reviews. The guidance is often clear, aligned with the latest research and directionally sound. But when teams revisit the case weeks later, a simple question often goes unanswered: Did anything actually change?
