AI doesn’t have to be the “cause” in order to become relevant to a case. What matters is whether any AI-generated or AI-influenced outputs were used in a way that met the required safety expectations—especially when human confirmation and clinical judgment were still necessary.
In Vineyard, families often start by noticing things like:
- Operative or follow-up notes that read inconsistent with what they were told in the recovery room
- Imaging or report language that feels unusually automated or templated
- Documentation gaps between the procedure, anesthesia phase, and post-op monitoring
- References to decision-support systems, analytics, or “assistive” tools that weren’t clearly explained
If something feels off, it’s worth treating it as a clue—not a conclusion. The first step is a careful review of the timeline and the documentation trail.


