In order to increase the precision of such systems, we need more precise models of the interaction of light with dermal tissues.
We have had, and still have, precise models of heuristics, like one over N.
Therefore, assessing their energy consumption requires precise models.
But general-purpose image-segmentation algorithms aren't reliable enough to produce the very precise models that surgical planning requires.
The reason is that game theory seeks to provide precise models of both individual behavior and of economic environments.
The most important factor to achieve the reliable optimization results is to employ the precise models.
For engineering systems without precise models, it is hard to verify this requirement.
And at the same time, we have precise models for so-called rational decision making, which are quite different: Bayesian, Neyman-Pearson, and so on.
While Brown was having to shepherd divergent styles, egos, and salary demands, her competitors were creating extremely precise models that could be easily mimicked by inexperienced and low paid employees.
It's worth remembering that the best architecture produced today - the work of architects like Robert Venturi, Frank Gehry and James Stirling, to name but three - follows no precise models.
So, what we need is to go back to precise models and ask ourselves, when is one over N a good idea, and when not? System one, system two doesn't even ask this.
