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Visual heuristics of pathology diagnosis is a largely unexplored area where reported studies only provided a qualitative insight into the subject. Uncovering and quantifying pathology visual and non-visual diagnostic patterns have great potential to improve clinical outcomes and avoid diagnostic pitfalls.
Here, we present PathEdEx, an informatics computational framework that incorporates whole-slide digital pathology imaging with multiscale gaze-tracking technology to create web-based interactive pathology educational atlases and to datamine visual and non-visual diagnostic heuristics.
We demonstrate the capabilities of PathEdEx for mining visual and non-visual diagnostic heuristics using the first PathEdEx volume of a hematopathology atlas. We conducted a quantitative study on the time dynamics of zooming and panning operations utilized by experts and novices to come to the correct diagnosis. (Full article...)
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