US 12,112,478 B2
Method and systems for predicting medical conditions and forecasting rate of infection of medical conditions via artificial intellidence models using graph stream processors
Deepak Chandra Bijalwan, Hyderabad (IN); and Dinakar C. Munagala, El Dorado Hills, CA (US)
Assigned to Blaize, Inc., El Dorado Hills, CA (US)
Filed by Blaize, Inc., El Dorado Hills, CA (US)
Filed on Dec. 19, 2023, as Appl. No. 18/544,662.
Application 18/544,662 is a division of application No. 17/238,289, filed on Apr. 23, 2021, granted, now 11,908,132.
Claims priority of provisional application 63/019,279, filed on May 2, 2020.
Prior Publication US 2024/0119596 A1, Apr. 11, 2024
Int. Cl. G06K 9/00 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06T 5/70 (2024.01); G06T 7/00 (2017.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G06F 18/214 (2023.01); G06F 18/2163 (2023.01); G06F 18/217 (2023.01); G06N 3/08 (2013.01); G06T 5/70 (2024.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
17. A graph stream processing system, comprising:
an inference module operative to execute instructions on a plurality of graph streaming processors (GSP) to process a digital image associated with a patient, generating an initial prediction utilizing pre-trained weights in a mixed precision deep learning model; and
a post-processing module operative to execute instructions on the GSP to:
receive a digital description of at least a symptom of one or more medical conditions in a first format;
perform an (AI based) initial prediction of the one or more medical conditions by processing the digital description through a pre-trained deep learning model to generate a probability of the one or more medical conditions comprising of Covid-19;
adjust the probability of the one or more medical conditions,
identify a location in the description of the one or more medical conditions, and
forecast a rate of spread of the one or more medical conditions and a spread of the one or more medical conditions over time based on a plurality of digital descriptions and additional medical data.