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'''"[[Journal:PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data|PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data]]"'''
'''"[[Journal:PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data|PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data]]"'''


Despite the increasingly digital nature of society, there are some areas of research that remain firmly rooted in the past; in this case the [[laboratory notebook]], the last remaining paper component of an experiment. Countless [[electronic laboratory notebook]]s (ELNs) have been created in an attempt to digitize record keeping processes in the lab, but none of them have become a "key player" in the ELN market, due to the many adoption barriers that have been identified in previous research and further explored in the user studies presented here. The main issues identified are the cost of the current available ELNs, their ease of use (or lack of it), and their accessibility issues across different devices and operating systems. Evidence suggests that whilst scientists willingly make use of generic notebooking software, spreadsheets, and other general office and scientific tools to aid their work, current ELNs are lacking in the required functionality to meet the needs of researchers. In this paper we present our extensive research and user study results, proposing an ELN built upon a pre-existing cloud notebook platform that makes use of accessible popular scientific software and semantic web technologies to help overcome the identified barriers to adoption. ('''[[Journal:PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data|Full article...]]''')<br />
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 [[Clinical pathology#Sub-specialties|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. ('''[[Journal:PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data|Full article...]]''')<br />
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''Recently featured'':  
''Recently featured'':  

Revision as of 15:50, 18 September 2017

Fig1 Shin JofPathInformatics2017 8.jpg

"PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data"

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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