Many people assume an “AI misdiagnosis” case is only about software being wrong. In practice, the legal question is usually bigger: how the tool was used, how clinicians relied on it, and whether safeguards were followed.
In Kenmore, that might look like:
- Imaging or lab results reviewed through automated interpretation tools
- Risk scoring or triage systems influencing who gets tested next
- Clinical decision support used to draft recommendations or documentation
- Results that appear in a system but aren’t clearly communicated to the treating provider
Even when a tool is meant to help, liability can involve human judgment, workflow design, documentation practices, and follow-up—especially when the care team had reasons to slow down and verify.


