PATENT CLAIM ANALYSIS

Application Number: 16012495
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["382", "131000"]

Abstract:
A system for computer-aided triage can include a router, a remote computing system, and a client application. A method for computer-aided triage can include determining a parameter associated with a data packet, determining a treatment option based on the parameter, and transmitting information to a device associated with a second point of care.

Claim (Index 1):
A method for determining a specialist for a patient presenting with a stroke symptom at a first point of care, the method comprising:\n receiving, at a remote computing system, a data packet from the first point of care, wherein the data packet comprises a set of computed tomography (CT) images and a set of metadata associated with the set of CT images; processing the data packet at the remote computing system, comprising:\n organizing the set of CT images into a series based on the metadata; \n identifying soft matter voxels from the series based on a soft matter mask, the soft matter mask comprising a predetermined Hounsfield Unit (HU) threshold; \n registering the soft matter voxels to a set of reference CT images, thereby determining a registered set of voxels; \n with a feed-forward deep convolutional network, segmenting a large vessel region in the registered set of voxels; \n extracting a centerline of the segmented large vessel region; and \n determining a length of the segmented large vessel region based on the centerline; and \n comparing the centerline length with a predetermined threshold, wherein the predetermined threshold is greater than a corresponding anatomical length; \n when the centerline length is less than the predetermined threshold, determining a specialist based on a lookup table; and transmitting a notification and a second data packet comprising a set of compressed images to a user device associated with the specialist.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.63889
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16012458', '13118256', '14984169', '14602307', '15264766']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2893632415890391
- 35 USC 102 Novelty (BERT): 0.520215133079986
- Combined Prediction Score: 0.3124484307381338
- Mean Citation Score: 149.8596368
- Max Citation Score: 314.48633
- Similarity Product: 211.34528927968984

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test