US 12,136,484 B2
Method and apparatus utilizing image-based modeling in healthcare
Felix Baldauf-Lenschen, Toronto (CA); Sally Daub, Coldwater (CA); Alyssa Randall, Toronto (CA); and Shazia Akbar, Toronto (CA)
Assigned to ALTIS LABS, INC., Toronto (CA)
Filed by ALTIS LABS, INC., Toronto (CA)
Filed on Nov. 5, 2021, as Appl. No. 17/520,289.
Prior Publication US 2023/0145034 A1, May 11, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06T 7/10 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01)
CPC G16H 30/40 (2018.01) [G06T 7/0016 (2013.01); G06T 7/10 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G06T 2200/24 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining, by a processing system including a processor, a pre-treatment image for a patient that is to be subject to treatment for a disease, the pre-treatment image capturing at least an organ that is to be subject to the treatment, the pre-treatment image being captured prior to the treatment;
analyzing, by the processing system, the pre-treatment image according to an imaging model that is a machine learning model, wherein the imaging model is trained based on ingesting other images of the organ for individuals and based on survival rate data for the individuals, wherein the individuals corresponding to the other images underwent the treatment, and wherein the imaging model is not trained to focus on tumors;
predicting, by the processing system and according to the analyzing of the pre-treatment image, one or more clinical variables for the pre-treatment image resulting in a predicted variable;
generating, by the processing system, a graphical user interface that includes event estimation information based at least in part on the predicted variable, wherein the event estimation information includes one of time-to-event curves, survival curves, Kaplan-Meier curves, or a combination thereof; and
providing, by the processing system, equipment of a healthcare provider of the patient with access to the graphical user interface.