US 12,190,499 B2
System and method for processing a diagnostic test article
Serhat Pala, San Diego, CA (US)
Assigned to Clinical Reference Laboratory, Inc., Lenexa, KS (US)
Filed by Clinical Reference Laboratory, Inc., Lenexa, KS (US)
Filed on May 7, 2023, as Appl. No. 18/144,215.
Application 18/144,215 is a continuation of application No. 17/011,714, filed on Sep. 3, 2020, granted, now 11,694,326.
Claims priority of provisional application 62/962,511, filed on Jan. 17, 2020.
Claims priority of provisional application 62/895,373, filed on Sep. 3, 2019.
Prior Publication US 2023/0274414 A1, Aug. 31, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); G06K 7/14 (2006.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); H04L 67/01 (2022.01); H04B 1/3827 (2015.01); H04W 4/90 (2018.01)
CPC G06T 7/001 (2013.01) [G06K 7/1413 (2013.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); H04L 67/01 (2022.05); G06T 2207/30004 (2013.01); H04B 1/3827 (2013.01); H04W 4/90 (2018.02)] 16 Claims
OG exemplary drawing
 
1. A system for processing a diagnostic test article, the system comprising:
each of a client side and a server side connected to internet via one of a plurality of internet connections;
the client side including a mobile communication device and a client application integrated with the mobile communication device;
the server side including one or more network servers configured to an image classifier, the image classifier trained from an image dataset comprising a plurality of source images;
characterized in that:
with the client application, the mobile communication device is configured to execute a series of steps for processing the diagnostic test article, the steps comprising in order:
(i) identifying a diagnostic test article type from a plurality of possible diagnostic test article types, the diagnostic test article being one of the diagnostic test article types, wherein the diagnostic test article type is associated with characteristic information including: number of diagnostic panels of the diagnostic test article type and number of diagnostic strips for each of the diagnostic panels; and
(ii) characterizing results of a diagnostic test using the diagnostic test article, wherein said characterizing results comprises:
acquiring one or more results images, each of the results images corresponding to one of the diagnostic panels of the diagnostic test article,
executing the image classifier to identify each of the diagnostic strips of the diagnostic panels of the diagnostic test article as one of: ‘positive’, ‘negative’, or ‘null, and
assigning an automated value to each of the diagnostic strips, wherein the automated value corresponds to one of: ‘positive’, ‘negative’, or ‘null’.