PATENT CLAIM ANALYSIS

Application Number: 16003707
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["345", "634000"]

Abstract:
Systems and methods for standardizing target lesion selection within cross-sectional medical images can include the acts of: (i) sending a plurality of cross-sectional images to a user device, where each cross-sectional image is a cross-sectional slice of digital medical image data captured at a first timepoint from a radiologic device; (ii) receiving a user input identifying a set of pixels corresponding to a target lesion within a cross-sectional image of the plurality of cross-sectional images; and (iii) generating a target lesion location file that includes a precise anatomical location of the cross-sectional image and a pixel location of the target lesion within the cross-sectional image. The systems and methods can additionally include the act of causing a digital marker to be displayed on the cross-sectional image and on each analogous cross-sectional image captured at a later timepoint.

Claim (Index 15):
A computer-implemented method for standardizing target lesion selection within cross-sectional medical images, comprising:\n receiving a cross-sectional image comprising a cross-sectional slice of digital medical image data captured at a first time point from a radiologic device; receiving a user input identifying a set of pixels within the cross-sectional image, the set of pixels corresponding to a segmented target lesion; determining one or more target lesion metrics of the segmented target lesion, the one or more target lesion metrics comprising at least a central aspect of the segmented target lesion; and generating a target lesion location file, wherein the target lesion location file comprises a precise anatomical location of the cross-sectional image and a pixel location of the central aspect of the target lesion.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 94.0
- Lexical Diversity: 2.12857
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15797360', '15407662', '15797391', '11552516', '13305495']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6686974916491463
- 35 USC 102 Novelty (BERT): 0.5125857742326501
- Combined Prediction Score: 0.6530863199074967
- Mean Citation Score: 266.72215800000004
- Max Citation Score: 318.0107
- Similarity Product: 261.12336131672856

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