US 12,040,078 B2
Dental image analysis and treatment planning using an artificial intelligence engine
Edward Menavsky, Malibu, CA (US); and Pavel Polupan, Malibu, CA (US)
Filed by Edward Menavsky, Malibu, CA (US); and Pavel Polupan, Malibu, CA (US)
Filed on Oct. 20, 2020, as Appl. No. 17/075,230.
Claims priority of provisional application 62/931,498, filed on Nov. 6, 2019.
Prior Publication US 2021/0134440 A1, May 6, 2021
Int. Cl. G06T 7/00 (2017.01); G06T 11/00 (2006.01); G16H 10/20 (2018.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01)
CPC G16H 30/40 (2018.01) [G06T 7/0014 (2013.01); G06T 11/00 (2013.01); G16H 10/20 (2018.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium storing instructions that, when executed by a computer having a hardware-based processor, cause the computer to:
store a subject's dental images in a memory of the computer;
automatically determine an apparent dental condition in the subject by analyzing the subject's dental images with an artificial neural network stored in the memory, the artificial neural network trained using manually-diagnosed dental images from other subjects;
generate at least one output signal that represents the apparent dental condition; and
generate a graphical output a representation of the apparent dental condition with respect to one of said dental images;
wherein the instructions further cause the computer to store dental survey responses of the subject in the memory of the computer; and
automatically determine the apparent dental condition in the subject by analyzing the dental images and the dental survey responses with the artificial neural network, the artificial neural network trained using the manually-diagnosed dental images from other subjects and a plurality of model dental survey response sets.