"Radiologists are not performing 2d pattern recognition - they have a 3d world model of the brain and its physical dynamics in their head. The motion and behavior of their brain to various traumas informs their prediction of hemorrhage determination."
Radiologists are certainly performing 2d pattern recognition, as the input they are processing is only 2d even if the details of how that recognition is performed relies on some deeper understanding. Likewise, an AI system performs recognition of 2d patterns based on some deeper "understanding" - in the case of a neural net that "understanding" lies in the complex configuration and weightings of its neural connections built up from vast training datasets.
Even if this dataset is only a subset of the dataset that humans are trained on, we still can't a priori claim that this subset lacks patterns and correlations that escape humans and that allow an AI to make certain determinations better than a human might.
Radiologists are certainly performing 2d pattern recognition, as the input they are processing is only 2d even if the details of how that recognition is performed relies on some deeper understanding. Likewise, an AI system performs recognition of 2d patterns based on some deeper "understanding" - in the case of a neural net that "understanding" lies in the complex configuration and weightings of its neural connections built up from vast training datasets.
Even if this dataset is only a subset of the dataset that humans are trained on, we still can't a priori claim that this subset lacks patterns and correlations that escape humans and that allow an AI to make certain determinations better than a human might.