PATENT CLAIM ANALYSIS

Application Number: 16184083
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-10
Patent Classification: ["345", "633000"]

Abstract:
A mechanism is provided for implementing an augmented reality display via a head mounted display (HMD) system that indicates areas of a patient's body corresponding to a medical condition and/or treatment of the patient overlayed on the actual view of the patient. A real-time image of an area of a patient's body being viewed by a medical professional is captured via the HMD system. One or more body parts of the patient are identified within the real-time image. The one or more identified body parks are correlated with the patient's electronic medical records (EMRs) indicating the medical condition and/or treatments associated with the patient. An augmented reality display is then generated in the HMD system of one or more areas of the patient's body corresponding to the medical condition and/or treatment of the patient overlaying the real-time image of the area of the patient's body.

Claim (Index 39):
The apparatus of  claim 35 , wherein the medical professional treating the patient is identified by the capturing mechanism capturing an image of the medical professional's face and the cognitive healthcare system utilizing facial recognition to identify the medical professional.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 98.0
- Lexical Diversity: 2.33824
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15689110', '14641302', '15377490', '15278089', '15350532']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6500060839374736
- 35 USC 102 Novelty (BERT): 0.5090250546163716
- Combined Prediction Score: 0.6359079810053634
- Mean Citation Score: 172.23387200000005
- Max Citation Score: 183.46103
- Similarity Product: 98.08841800742388

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