PATENT CLAIM ANALYSIS

Application Number: 16405996
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["382", "128000"]

Abstract:
Aspects of the technology described herein relate to techniques for calculating, during imaging, a quality of a sequence of images collected during the imaging. Calculating the quality of the sequence of images may include calculating a probability that a medical professional would use a given image for clinical evaluation and a confidence that an automated analysis segmentation performed on the given image is correct. Techniques described herein also include receiving a trigger to perform an automatic measurement on a sequence of images, calculating a quality of the sequence of images, determining whether the quality of the sequence of images exceeds a threshold quality, and performing the automatic measurement on the sequence of images based on determining that the quality of the sequence of images exceeds the threshold quality.

Claim (Index 18):
A method comprising:\n calculating, during imaging, using a computing device in communication with an ultrasound device, a quality of a sequence of images collected by the ultrasound device during the imaging; storing one or more images in the sequence of images in a volatile memory; deleting an oldest image from the one or more images stored in the volatile memory; adding a newest image to the one or more images stored in the volatile memory; determining that a quality of the one or more images stored in the volatile memory exceeds a threshold quality; and based on determining that the quality of the one or more images stored in the volatile memory exceeds the threshold quality, transferring the one or more images stored in the volatile memory from the volatile memory to a non-volatile memory.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 100.0
- Lexical Diversity: 2.42857
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16172076', '13119738', '13073683', '14036580', '14476406']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3005981164480423
- 35 USC 102 Novelty (BERT): 0.5457118804354432
- Combined Prediction Score: 0.3251094928467825
- Mean Citation Score: 215.247
- Max Citation Score: 394.8042
- Similarity Product: 305.1777407798409

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