Decision support system for individualizing radiotherapy dose

US11491350B2 · kind B2 · utility

Assignees

• Siemens Healthcare Limited · DE
• The Cleveland Clinic Foundation · US

Inventors

• Bin Lou · Princeton Junction, US
• Ali Kamen · Skillman, US
• Nilesh N. Mistry · Cary, US
• Lance Anthony Ladic · Lawrence, US
• Mohamed Abazeed · Boston, US

Key dates

• Filing date: Sep 26, 2019
• Grant date: Nov 8, 2022
• Expiry date: May 14, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. The outcome prediction may be used to determine dose. To assist in decision support, a regression analysis of the cohort used for machine training relates the outcome from the machine-learned generator to the dose and an actual control time (e.g., time-to-event). The dose that minimizes side effects while minimizing risk of failure to a time for any given patient is determined from the outcome for that patient and a calibration from the regression analysis.