US 12,462,383 B2
Electronic device and method of disease prognosis based on demographic information and anatomical image using neural network models
Hoda Sayyadinejad, San Diego, CA (US)
Assigned to SONY GROUP CORPORATION, Tokyo (JP)
Filed by SONY GROUP CORPORATION, Tokyo (JP)
Filed on Dec. 21, 2022, as Appl. No. 18/069,447.
Prior Publication US 2024/0212133 A1, Jun. 27, 2024
Int. Cl. G06T 7/00 (2017.01); G06V 10/82 (2022.01); G16H 10/60 (2018.01); G16H 20/00 (2018.01); G16H 50/20 (2018.01); G06F 3/048 (2013.01); G06T 3/4046 (2024.01)
CPC G06T 7/0012 (2013.01) [G06V 10/82 (2022.01); G16H 10/60 (2018.01); G16H 20/00 (2018.01); G16H 50/20 (2018.01); G06F 3/048 (2013.01); G06T 3/4046 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An electronic device, comprising:
circuitry configured to:
receive demographic information associated with a person;
apply a first neural network model on the received demographic information;
determine, based on the applied first neural network model, an ailment associated with an anatomical region of the person;
select a second neural network model from a set of neural network models, based on the determined ailment;
receive a first set of images associated with the anatomical region of the person;
apply the selected second neural network model on the received first set of images, wherein the second neural network model is different from the first neural network model;
determine a first disease severity corresponding to the determined ailment associated with the anatomical region of the person, wherein the first disease severity is determined based on the application of the second neural network model on the received first set of images; and
control a display device associated with the electronic device to render information about the determined first disease severity and the determined ailment.