US 12,175,671 B2
Method for hospital visit guidance for medical treatment for active thyroid eye disease, and system for performing same
Kyubo Shin, Ulsan (KR); Jaemin Park, Busan (KR); and Jongchan Kim, Ulsan (KR)
Assigned to THYROSCOPE INC., Ulsan (KR)
Filed by THYROSCOPE INC., Ulsan (KR)
Filed on Jul. 14, 2023, as Appl. No. 18/222,271.
Application 18/222,271 is a continuation of application No. 18/094,064, filed on Jan. 6, 2023, granted, now 11,748,884.
Application 18/094,064 is a continuation of application No. 17/939,040, filed on Sep. 7, 2022, granted, now 11,663,719, issued on May 30, 2023.
Application 17/939,040 is a continuation of application No. PCT/KR2022/009356, filed on Jun. 29, 2022.
Claims priority of application No. 10-2021-0085542 (KR), filed on Jun. 30, 2021; and application No. 10-2022-0079770 (KR), filed on Jun. 29, 2022.
Prior Publication US 2023/0360204 A1, Nov. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); A61B 3/14 (2006.01); A61B 5/00 (2006.01); G06T 7/12 (2017.01); G06T 7/70 (2017.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [A61B 3/14 (2013.01); A61B 5/4227 (2013.01); A61B 5/445 (2013.01); A61B 5/4824 (2013.01); A61B 5/4878 (2013.01); G06T 7/12 (2017.01); G06T 7/70 (2017.01); G16H 50/20 (2018.01); G06T 2207/20021 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method of managing a thyroid eye disease, comprising:
obtaining a user's response corresponding to a user input, wherein the user input is obtained through a user terminal in response to a first screen for receiving an evaluation of a user's subjective pain;
based on a prestored score determination algorithm and the user's response, calculating a score of a spontaneous retrobulbar pain and a score of a pain on attempted upward or downward gaze;
obtaining a facial image appearing at least one eye of the user, wherein the facial image is captured through the user terminal along a second screen where a photograph guide appears for acquiring the facial image;
based on one or more sign prediction models and the facial image, obtaining a score of a conjunctival hyperemia, a score of a conjunctival edema, a score of a lacrimal edema, a score of an eyelid redness and a score of an eyelid edema, wherein the one or more sign prediction models is pretrained with a training data set that comprises clinical images captured on a hospital and a doctor's judgments on the clinical images;
calculating a final score by adding the scores of the spontaneous retrobulbar pain, the pain on attempted upward or downward gaze, the conjunctival hyperemia, the conjunctival edema, the lacrimal edema, the eyelid redness, and the eyelid edema with a same weight; and
determining whether the user is recommended to visit a hospital by comparing the final score and final criteria.