US 12,033,742 B2
Noninvasive multimodal oral assessment and disease diagnoses apparatus and method
Shai Farkash, Hod HaSharon (IL); Yossef Atiya, Modin-Maccabim-Reut (IL); Maayan Moshe, Ramat HaSharon (IL); Moti Ben-Dov, Tel Mond (IL); Raphael Levy, Jerusalem (IL); and Doron Malka, Tel Aviv (IL)
Assigned to Align Technology, Inc., San Jose, CA (US)
Filed by Align Technology, Inc., San Jose, CA (US)
Filed on Dec. 13, 2021, as Appl. No. 17/549,830.
Claims priority of provisional application 63/124,712, filed on Dec. 11, 2020.
Prior Publication US 2022/0189611 A1, Jun. 16, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 1/04 (2006.01); A61B 1/06 (2006.01); A61B 1/24 (2006.01); A61C 9/00 (2006.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 70/60 (2018.01); G06N 20/00 (2019.01)
CPC G16H 30/40 (2018.01) [A61B 1/043 (2013.01); A61B 1/0638 (2013.01); A61B 1/24 (2013.01); A61C 9/0053 (2013.01); G06T 7/0016 (2013.01); G16H 50/20 (2018.01); G16H 70/60 (2018.01); G06N 20/00 (2019.01); G06T 2200/04 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30036 (2013.01); G06T 2207/30096 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method, the method comprising:
receiving or accessing scan data collected from an oral scan of a subject's oral cavity, including a dental arch, the scan data including at least three of: three-dimensional (3D) surface data, color image data, near-infrared (NIR) data, and fluorescence imaging data;
identifying one or more features indicative of gingival inflammation in the scan data using a trained machine learning model, wherein the trained machine learning model is trained on image data including at least three of: previous 3D surface data, previous color image data, previous near-infrared (NIR) data, and previous fluorescence imaging data, wherein the data used to train the trained machine learning model is filtered based on a threshold angle between images of the color image data and a threshold distance between the images of the color image data; and
outputting an indication of gingival inflammation based on the one or more features indicative of gingival inflammation.