{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11532084","patent":{"patent_number":"US-11532084","title":"Gating machine learning predictions on medical ultrasound images via risk and uncertainty quantification","assignee":null,"inventors":[],"filing_date":"2020-11-03T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G06T","G06F","G06N","G06T","G06T","G06V","G06T","G06T","G06T","G06V","G06V"],"num_claims":39,"abstract":"A facility for processing a medical imaging image is described. The facility applies each of a number of constituent models making up an ensemble machine learning models to the image to produce a constituent model result that predicts a value for each pixel of the image. The facility aggregates the results produced by the constituent models of the plurality to determine a result of the ensemble machine learning model. For each of the pixels of the accessed image, the facility determines a measure of variation among the values predicted for the pixel among the constituent models. Facility determines a confidence measure for the ensemble machine learning model result based at least in part on for how many of the pixels of the accessed image a variation measure is determined that exceeds a variation threshold."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Gating machine learning predictions on medical ultrasound images via risk and uncertainty quantification","description":"A facility for processing a medical imaging image is described. The facility applies each of a number of constituent models making up an ensemble machine learning models to the image to produce a cons","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11532084","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-11532084","citation_suggestion":"Patentable. \"Gating machine learning predictions on medical ultrasound images via risk and uncertainty quantification\" (US-11532084). https://patentable.app/patents/US-11532084","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11532084","json":"https://patentable.app/api/llm-context/US-11532084","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T13:43:15.806Z"}