In our experience, residents often don’t start with “AI” as the keyword. They start with a problem:
- A follow-up visit that reveals imaging or documentation that doesn’t line up with what was explained.
- Notes that seem unusually polished, automated, or internally inconsistent.
- References to software-assisted planning or decision support—without clear disclosure of how it was used.
- A complication that appears after a step where clinicians relied on an output from a system.
When AI is involved, it’s rarely as simple as “the machine caused everything.” More often, the dispute centers on whether the clinical team used the technology safely, verified critical outputs, and responded appropriately when the patient’s condition required real-world judgment.


