Medical AI becomes much more serious when it enters the operating room. A system that helps surgeons identify critical anatomy in real time is not a chatbot convenience; it is a decision-support layer inside a high-stakes procedure.
The promise is meaningful because surgery depends on perception, timing, and avoiding structures that cannot be damaged. If AI vision can reliably highlight risk during complex operations, it could become part of how hospitals reduce error and train surgical teams.
The standard has to be higher than novelty. Pagish will watch for peer-reviewed validation, regulatory pathways, surgeon accountability, and whether similar systems work across hospitals rather than in a single headline case.
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