{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11980492","patent":{"patent_number":"US-11980492","title":"System and method for deep-learning based estimation of coronary artery pressure drop","assignee":null,"inventors":[],"filing_date":"2021-11-05T00:00:00.000Z","publication_date":"2024-05-14T00:00:00.000Z","cpc_codes":["A61B","G06T","A61B","A61B","A61B","A61B","A61B","G06N","G06N","G06T","G06N","G06N","G06N","G06N","G06N","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"A computer-implemented method includes generating, via a processor, synthetic vessels. The method also includes performing, via the processor, three-dimensional (3D) computational fluid dynamics (CFD) on the synthetic vessels for different flow rates to generate 3D CFD data. The method further includes extracting, via the processor, 3D image patches from the synthetic vessels. The method even further includes obtaining, via the processor, pressure drops across the 3D image patches from the 3D CFD data. The method yet further includes training, via the processor, a deep neural network utilizing the 3D image patches, the pressure drops, and associated flow rates to generate a trained deep neural network."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System and method for deep-learning based estimation of coronary artery pressure drop","description":"A computer-implemented method includes generating, via a processor, synthetic vessels. The method also includes performing, via the processor, three-dimensional (3D) computational fluid dynamics (CFD)","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11980492","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-11980492","citation_suggestion":"Patentable. \"System and method for deep-learning based estimation of coronary artery pressure drop\" (US-11980492). https://patentable.app/patents/US-11980492","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11980492","json":"https://patentable.app/api/llm-context/US-11980492","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:15:07.493Z"}