US 11,915,826 B2
Digital image screening and/or diagnosis using artificial intelligence
John A. Lane, Weedsport, NY (US); Chris R. Roberts, Skaneateles, NY (US); Thomas A. Gurgol, Skaneateles, NY (US); and WonKyung McSweeney, Syracuse, NY (US)
Assigned to Welch Allyn, Inc., Skaneateles Falls, NY (US)
Filed by Welch Allyn, Inc., Skaneateles Falls, NY (US)
Filed on Jun. 1, 2020, as Appl. No. 15/929,978.
Claims priority of provisional application 62/858,579, filed on Jun. 7, 2019.
Prior Publication US 2020/0388383 A1, Dec. 10, 2020
Int. Cl. G16H 50/20 (2018.01); A61B 3/00 (2006.01); A61B 3/12 (2006.01); G16H 30/20 (2018.01); G16H 80/00 (2018.01)
CPC G16H 50/20 (2018.01) [A61B 3/0025 (2013.01); A61B 3/12 (2013.01); G16H 30/20 (2018.01); G16H 80/00 (2018.01)] 11 Claims
OG exemplary drawing
 
1. A device configured to capture an image of a patient, the device comprising:
a camera configured to capture the image of the patient;
at least one processor; and
at least one system memory encoding instructions which, when executed by the at least one processor, cause the device to:
capture contextual data associated with the image, wherein the contextual data includes a process by which a caregiver has selected images for storage and discard, and wherein the contextual data further includes manipulation data relating to manipulations of the image performed by the caregiver;
provide feedback to the caregiver relating to a quality of the image as the image is captured, wherein the feedback includes at least one recommendation to improve the quality of the image;
allow the caregiver to select the image to be stored;
forward the image and the contextual data to a remote server for processing using artificial intelligence;
receive a proposed diagnosis and an accuracy indicator indicating an accuracy of the proposed diagnosis determined by the artificial intelligence on the remote server, the proposed diagnosis being based upon the image and the contextual data, and the accuracy indicator being a score within a range having a minimum score and a maximum score; and
receive a recommendation determined by the artificial intelligence on the remote server, the recommendation including a suggestion to perform one or more additional tests to be done by the device to increase the accuracy indicator of the proposed diagnosis, the one or more additional tests including taking additional images of the patient using the camera of the device and providing additional contextual data to increase the accuracy indicator of the proposed diagnosis.