Li warns data scarcity may limit fully autonomous AI for complex surgery

What was said

"everybody's liver is very different. So given the reality of how many patients undergo liver surgery per year, even if you aggregate um the world's liver patient um surgeries, you might not have enough data to train these algorithm."

Discussing whether AI could fully automate complex procedures, Li says liver surgery may lack sufficient standardised training data because anatomy varies widely and the global volume of comparable cases is limited. She argues this makes surgeon–robot collaboration preferable to an “underlearned robot” operating alone, at least with current approaches.