US 11,699,529 B2
Systems and methods for diagnosing a stroke condition
Nadav Eichler, Haifa (IL); Shmuel Raz, Kfar Vradim (IL); Rotem Sivan-Hoffmann, Kfar Bialik (IL); Alex Frid, Tirat-Karmel (IL); and Oren Dror, Herzeliya (IL)
Assigned to CV Aid Ltd, Tel Aviv (IL)
Appl. No. 17/413,157
Filed by CVAid Ltd, Tel Aviv (IL)
PCT Filed Dec. 11, 2019, PCT No. PCT/IL2019/051359
§ 371(c)(1), (2) Date Jun. 11, 2021,
PCT Pub. No. WO2020/121308, PCT Pub. Date Jun. 18, 2020.
Claims priority of provisional application 62/946,076, filed on Dec. 10, 2019.
Claims priority of provisional application 62/908,624, filed on Oct. 1, 2019.
Claims priority of provisional application 62/777,879, filed on Dec. 11, 2018.
Prior Publication US 2022/0044821 A1, Feb. 10, 2022
Int. Cl. G16H 50/30 (2018.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); G16H 50/20 (2018.01)
CPC G16H 50/30 (2018.01) 52 Claims
OG exemplary drawing
 
1. A method for quantitatively estimating a likelihood of a stroke condition of a subject, the method comprising:
acquiring non-invasive clinical measurement data pertaining to said subject, said clinical measurement data including at least one of image data, sound data, movement data, and tactile data;
constructing, via machine learning in an initial training phase, a positive stroke model from at least part of a positive stroke dataset acquired from a plurality of subjects positively diagnosed with at least one stroke condition and, in a steady-state operation phase continuously updating by training through machine learning said positive stroke model via its defining parameters through parameter estimation and optimization;
extracting from said clinical measurement data, potential stroke features according to at least one predetermined stroke assessment criterion;
comparing said potential stroke features with classified sampled data of said positive stroke dataset; and
determining, according to said comparing and said positive stroke model, without neuroimaging of said subject, a probability of a type of said stroke condition, and a probability of a corresponding stroke location of said stroke condition with respect to a particular brain location of said subject.