PATENT CLAIM ANALYSIS

Application Number: 15947501
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "633000"]

Abstract:
A method for training a student in medical condition identification and intervention. The method can include the step of providing a mixed reality viewing device, providing a computing device, providing a physical object, storing a medical condition scenario in memory of the viewing device, storing the scenario in the memory of the computing device, anchoring a virtual image of at least a portion of a virtual patient on at least a portion of the physical object, selecting the scenario, commanding the processor of the computing device to initiate displaying the virtual image in a selected one of a plurality of stages, controlling one or more states and one or more properties of the physical object, assessing the student's identification of the one or more virtual critical cues; and assessing the student's identification of the one or more physical critical cues.

Claim (Index 16):
The system of  claim 9 , wherein assessing the student's identification of the one or more virtual critical cues comprises monitoring the augmented reality view on the substantially flat display screen of the computing device, thereby by gaze tracking determining that one or more of the one or more virtual critical cues was viewed sufficiently to indicate identification.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 2.61017
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13514474', '14980891', '11751407', '13597187', '11015127']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6591185622044018
- 35 USC 102 Novelty (BERT): 0.4975063003284274
- Combined Prediction Score: 0.6429573360168044
- Mean Citation Score: 177.302414
- Max Citation Score: 191.76498
- Similarity Product: 119.68095258212328

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

Dataset: test