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 1):
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; generating for display, during the imaging, an indicator of the quality of the sequence of images; receiving a newest image collected during the imaging; removing an oldest image from the sequence of images and adding the newest image to the sequence of images to form a new sequence of images; calculating, during the imaging, a quality of the new sequence of images; and generating for display, during the imaging, an indicator of the quality of the new sequence of images to replace the indicator of the quality of the sequence of images.

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): 0.3003716228818946
- 35 USC 102 Novelty (BERT): 0.5460164502949132
- Combined Prediction Score: 0.3249361056231964
- Mean Citation Score: 215.247
- Max Citation Score: 394.8042
- Similarity Product: 311.9962559233904

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