Skinio, LLC

Kyoko Crawford

Christopher Billman

Jean-Christophe Lapiere

Nicolas Longo

Charles McGrath

Nathan Tornquist

He Zhao

Arthur Morrissette

A process for assessing image quality metrics includes the steps of receiving image data from an image capture device, wherein the image data includes a skin portion; extracting, via a machine learning system, a first set of information from the image data; extracting, via the machine learning system, a second set of information from the image data; scoring the first and second sets of information of the image data to reflect image quality metrics; identifying a threshold score reflecting acceptable image quality metrics; when the score is greater than the threshold score, submit the image data; and when the score is less than the threshold score, prompt the user to retake the image data.

Skin abnormality monitoring systems and methods

A method of monitoring skin abnormalities on a skin portion of a patient including the steps of receiving a first image data from an image capture device and identifying a first skin mask corresponding to the skin portion. The image data includes the skin portion and a first scaling element on the skin portion. The method further includes the steps of identifying one or more first keypoints within the first skin mask and classifying the one or more keypoints. Each first keypoint comprises an abnormality on the skin portion.

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Chicago, IL, United States of America

Kyoko Crawford