US 12,458,298 B2
Information processing apparatus, information processing method, information processing system, and program
Satoru Fukushima, Kanagawa (JP); Yoshihiro Hirata, Tokyo (JP); and Ritsuya Tomita, Kanagawa (JP)
Assigned to Canon Kabushiki Kaisha, Tokyo (JP)
Filed by CANON KABUSHIKI KAISHA, Tokyo (JP)
Filed on Feb. 24, 2022, as Appl. No. 17/680,064.
Application 17/680,064 is a continuation of application No. PCT/JP2020/030133, filed on Aug. 6, 2020.
Claims priority of application No. 2019-158973 (JP), filed on Aug. 30, 2019; and application No. 2020-132816 (JP), filed on Aug. 5, 2020.
Prior Publication US 2022/0175325 A1, Jun. 9, 2022
Int. Cl. A61B 5/00 (2006.01); A61B 3/12 (2006.01); A61B 5/021 (2006.01); G06F 3/14 (2006.01); G06T 7/00 (2017.01); G06V 40/18 (2022.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01)
CPC A61B 5/7275 (2013.01) [A61B 3/12 (2013.01); A61B 5/021 (2013.01); A61B 5/4872 (2013.01); A61B 5/742 (2013.01); G06F 3/14 (2013.01); G06T 7/0012 (2013.01); G06V 40/193 (2022.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); G06T 2207/20036 (2013.01); G06T 2207/30041 (2013.01)] 15 Claims
OG exemplary drawing
 
1. An information processing apparatus comprising:
obtaining means for obtaining a subject's medical image;
estimation means for estimating the subject's risk of developing a disease (a) by inputting, as input data, a feature obtained from the obtained medical image to a learned model that has learned a relationship between a feature obtained from a medical image and a risk of developing the disease or (b) by inputting, as input data, the obtained-fundus medical image to a learned model that has deep-learned a relationship between a medical image and a risk of developing the disease; and
correction means for correcting the estimated risk of developing the disease using a weight coefficient of the probability of developing each disease, the weight coefficient being set in advance for each item of the subject's biological information.