US 12,333,722 B1
Systems and methods for predicting medical conditions usingmachine learning correlating dental images and medical data
Charles Holland Dresser, Wayland, MA (US); and Nathan Paul Monty, Shrewsbury, MA (US)
Filed by Enamel Pure, Inc., Worcester, MA (US)
Filed on Mar. 28, 2024, as Appl. No. 18/619,331.
Int. Cl. G06T 7/00 (2017.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/20084 (2013.01); G06T 2207/30036 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for associating dental and medical data the system comprising:
a processor; and
a memory containing instructions that instruct the processor to:
receive dental data comprising a plurality of dental images representative of at least a surface of dental tissue of a patient;
receive medical data representative of a non-dental medical condition and associated with the patient from an electronic health record (EHR) from hospital;
generate training data as a function of a correlation between the plurality of dental images and the medical data representative of the non-dental medical condition;
input the training data into a machine learning algorithm; and
train a machine learning model to predict the non-dental medical condition using dental images, as a function of the training data and the machine learning algorithm.