EP3776588A1: Vessel Obstruction Assessment via Machine Learning, Pie Medical Imaging
Summary
The EPO published patent application EP3776588A1 filed by Pie Medical Imaging BV covering a method and system for assessing vessel obstruction based on machine learning. The application, published April 15, 2026, is classified under IPC G16H 50/50 and G16H 50/20 (Health Informatics) with protection sought across all designated European states.
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GovPing monitors EPO Patent Bulletin - Health Informatics (G16H) for new healthcare & life sciences regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 45 changes logged to date.
What changed
The EPO published patent application EP3776588A1 on April 15, 2026, filed by Pie Medical Imaging BV, covering a method and system for assessing vessel obstruction using machine learning. The application is classified under IPC codes G16H 50/50 and G16H 50/20, falling within the Health Informatics domain.
Affected parties in the medical imaging and healthcare software sectors should note this filing for potential freedom-to-operate considerations if developing similar machine learning-based diagnostic systems for vascular assessment.
Archived snapshot
Apr 22, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
METHOD AND SYSTEM FOR ASSESSING VESSEL OBSTRUCTION BASED ON MACHINE LEARNING
Publication EP3776588A1 Kind: A1 Apr 15, 2026
Applicants
Pie Medical Imaging BV
Inventors
ISGUM, Ivana, ZREIK, Majd, ABEN, Jean-Paul
IPC Classifications
G16H 50/50 20180101AFI20191018BHEP G16H 50/20 20180101ALI20191018BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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