US 12,443,889 B2
Image-based detection of internal object
Gabriel Fine, Salt Lake City, UT (US); and Nathan Silberman, Brooklyn, NY (US)
Filed by Gabriel Fine, Salt Lake City, UT (US); and Nathan Silberman, Brooklyn, NY (US)
Filed on Jan. 17, 2025, as Appl. No. 19/029,454.
Application 19/029,454 is a continuation of application No. 18/321,555, filed on May 22, 2023, granted, now 12,242,935.
Application 18/321,555 is a continuation of application No. 17/131,341, filed on Dec. 22, 2020, granted, now 11,687,834, issued on Jun. 27, 2023.
Application 17/131,341 is a continuation of application No. 16/712,621, filed on Dec. 12, 2019, granted, now 11,062,473, issued on Jul. 13, 2021.
Application 16/712,621 is a continuation of application No. 15/831,132, filed on Dec. 4, 2017, granted, now 10,529,088, issued on Jan. 7, 2020.
Claims priority of provisional application 62/429,479, filed on Dec. 2, 2016.
Prior Publication US 2025/0190875 A1, Jun. 12, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/70 (2017.01); A61B 34/10 (2016.01); A61B 34/20 (2016.01); G06F 18/2413 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01); G06V 30/194 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/50 (2018.01); A61B 90/00 (2016.01); A61F 2/01 (2006.01)
CPC G06N 20/00 (2019.01) [A61B 34/10 (2016.02); A61B 34/20 (2016.02); G06F 18/2414 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0016 (2013.01); G06T 7/70 (2017.01); G06T 7/75 (2017.01); G06V 10/82 (2022.01); G06V 30/19173 (2022.01); G06V 30/194 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/50 (2018.01); A61B 2034/102 (2016.02); A61B 2034/2051 (2016.02); A61B 2034/2065 (2016.02); A61B 2090/367 (2016.02); A61B 2090/376 (2016.02); A61F 2/01 (2013.01); A61F 2/0105 (2020.05); G06T 2207/10072 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10121 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30021 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A system for image-based detection of conditions for an object internal to a patient, the system comprising:
a database configured to store a trained model, the trained model being generated from one or more machine learning algorithms that are trained on training images of internal patient objects with annotated condition information, wherein the trained model is configured to be used to determine condition information from unannotated images of an object;
an imaging computer system that is configured to:
receive, from an imaging device, one or more images of the object internal to a patient, wherein the imaging device is configured to capture the one or more images of the object from a position external to the patient,
access the trained model from the database,
determine, based on applying the trained model to the one or more images of the object, current condition information for the object internal to the patient, and
provide the current condition information of the object internal to the patient; and
a display to monitor the object internal to the patient, the display being configured to output (i) the one or more images of the object as captured by the imaging device from the position external to the patient, and (ii) the current condition information for the object internal to the patient as determined based on application of the trained model to the one or more images.