{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11941544","patent":{"patent_number":"US-11941544","title":"Generating and applying robust dose prediction models","assignee":null,"inventors":[],"filing_date":"2022-12-22T00:00:00.000Z","publication_date":"2024-03-26T00:00:00.000Z","cpc_codes":["G06N","A61N","G06N","G16H","A61N"],"num_claims":20,"abstract":"Nominal values of parameters, and perturbations of the nominal values, that are associated with previously defined radiation treatment plans are accessed. For each treatment field of the treatment plans, a field-specific planning target volume (fsPTV) is determined based on those perturbations. At least one clinical target volume (CTV) and at least one organ-at-risk (OAR) volume are also delineated. Each OAR includes at least one sub-volume that is delineated based on spatial relationships between each OAR and the CTV and the fsPTV for each treatment field. Dose distributions for the sub-volumes are determined based on the nominal values and the perturbations. One or more dose prediction models are generated for each sub-volume. The dose prediction model(s) are trained using the dose distributions."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Generating and applying robust dose prediction models","description":"Nominal values of parameters, and perturbations of the nominal values, that are associated with previously defined radiation treatment plans are accessed. For each treatment field of the treatment pla","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11941544","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11941544","citation_suggestion":"Patentable. \"Generating and applying robust dose prediction models\" (US-11941544). https://patentable.app/patents/US-11941544","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11941544","json":"https://patentable.app/api/llm-context/US-11941544","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T04:22:54.128Z"}