US 12,266,442 B2
Decision support system for medical therapy planning
Ali Kamen, Skillman, NJ (US); and Bin Lou, Princeton Junction, NJ (US)
Assigned to Siemens Healthineers AG, Forchheim (DE)
Filed by Siemens Healthineers AG, Forchheim (DE)
Filed on Mar. 1, 2024, as Appl. No. 18/592,972.
Application 18/592,972 is a continuation of application No. 18/360,348, filed on Jul. 27, 2023, granted, now 11,961,604.
Application 18/360,348 is a continuation of application No. 16/270,743, filed on Feb. 8, 2019, granted, now 11,756,667, issued on Sep. 12, 2023.
Claims priority of provisional application 62/745,712, filed on Oct. 15, 2018.
Claims priority of provisional application 62/677,716, filed on May 30, 2018.
Prior Publication US 2024/0203564 A1, Jun. 20, 2024
Int. Cl. G16H 20/40 (2018.01); A61B 5/00 (2006.01); A61N 5/10 (2006.01); G06N 3/04 (2023.01); G06T 7/00 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 6/03 (2006.01)
CPC G16H 20/40 (2018.01) [A61B 5/7267 (2013.01); A61N 5/103 (2013.01); G06N 3/04 (2013.01); G06T 7/0012 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 6/032 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for decision support in a medical therapy system, the method comprising:
acquiring a medical scan of a patient;
generating a prediction of outcome of therapy for the patient, the outcome generated by a machine-learned multi-task generator having been trained based on a segmentation loss and an outcome loss; and
displaying an image of the outcome.