(19)
(11) EP 4 823 439 A1

(12)

(43) Date of publication:
21.10.2026 Bulletin 2026/43

(21) Application number: 24904928.9

(22) Date of filing: 13.12.2024
(51) International Patent Classification (IPC): 
A61B 5/349(2021.01)
A61B 5/28(2021.01)
G06N 3/0499(2023.01)
A61B 5/0245(2006.01)
A61B 5/353(2021.01)
G06N 20/00(2019.01)
(52) Cooperative Patent Classification (CPC):
G16H 10/60; G16H 50/20; A61B 5/7267; G16H 50/70; A61B 5/36; A61B 5/353; A61B 5/352; A61B 5/355
(86) International application number:
PCT/US2024/059923
(87) International publication number:
WO 2025/128921 (19.06.2025 Gazette 2025/25)
(84) Designated Contracting 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 ME MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated Extension States:
BA
Designated Validation States:
GE KH MA MD TN

(30) Priority: 14.12.2023 US 202363610373 P

(71) Applicant: Accurkardia, Inc.
New York, NY 10013 (US)

(72) Inventors:
  • BOSE, Sluso Anne
    Kottayam Kerala 686502 (IN)
  • ANTONY, Catherine Vinnarasi
    Dindigul, Tamil Nadu 624304 (IN)
  • KOMALA, T.A
    Kunigal Karnataka 572130 (IN)
  • SHAIKH, Rozina Moazzam Ali
    Thane, Maharashtra 421302 (IN)

(74) Representative: Simmons & Simmons LLP (Munich) 
Lehel Carré Gewürzmühlstraße 11
80538 Munich
80538 Munich (DE)

   


(54) A MACHINE LEARNING ALGORITHM FOR THE DETECTION OF CARDIAC AMYLODOSIS FROM 12 LEAD ECG DATA