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40M
diagnostic reading errors |
115B
images in 2021 |
$750B
wasted in diagnostic errors and |
$100B
savings with improved | ||||||||||
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The Problem: Missed and Mis-Diagnosis
At the root of the problem is the explosive growth in the number of medical images generated.
Between 2010 and 2021 the number of images increased from 94M to 115B as compared to just 9M diagnostic images generated in 1999.
Workforce to workflow inefficiencies mean there is not enough time and/or people to
An estimated 62% of False Positive (misdiagnoses) and False Negative (missed diagnoses) | |||
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The Solution | |
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conflu3nce is developing a suite of patented image manipulation tools designed to enhance visual attention, reduce pixel volume, and deconstruct image complexity - a technology Gestalt designed to help bridge the gap between human cognition, perception and computer vision.
The enhanced image does not change clinical decision-making whether to biopsy and/or remove the lesion. But the enhanced image allows us to not only better interrogate the lesion, visualizing hidden image data, while at the same time improving the extraction of attributes by AI.
In the example, the image on the left is ambiguous - a spider and maybe skin; whereas the image on the right is unambiguously classified as skin - a starting point and new ground truth for advancing early detection of cancerous and other skin lesions. |
![]() LesionOptix Webinar |
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Specialized Use Cases | |||
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