Many surgical cases don’t label “AI” in plain language. Instead, residents may notice clues such as:
- Automated summaries or machine-generated clinical notes that don’t track the timeline you were given
- Imaging reports that appear to rely on decision-support outputs without clear verification steps
- Documentation that references software used for planning, triage, or risk scoring
- Gaps between what was charted and what you later learned about the procedure or follow-up
In Wisconsin, those record details matter because liability turns on the standard of care and whether the clinical team acted reasonably with the information available at the time. If AI outputs were used, the key question becomes whether they were properly supervised and confirmed—not whether the tool existed.


