PATENT CLAIM ANALYSIS

Application Number: 16367104
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["351", "246000"]

Abstract:
The present invention discloses systems and methods for determine preoperative estimation of postoperative IOL position (or the EAPD) in accordance with one or both of the following mathematical relationships, which are derived from linear regression: EAPD= S 1 +( S 2 ×AND)+( S 3 ×NT)+( S 4 ×AL),  (1a) EAPD= W 1 +( W 2 ×AND)+( W 3 ×RND)+( W 4 ×AL),  (1b) where S 1 , S 2 , S 3 , and S 4  for equation (1a) and W 1 , W 2 , W 3 , and W 4  for equation (1b) are statistically derived linear regression constant coefficients.

Claim (Index 4):
The method for determining preoperative estimation of postoperative intraocular lens position of an intraocular lens as set forth in  claim 3 , where:\n NT is determined as follows:\n NT=LT\u2212 PCX\u2212ACX  \n where: LT is defined as a distance measured along the optical axis from an anterior lens capsule surface to a posterior lens capsule surface of the natural lens, which includes the lens cortex and the lens nucleus; PCX is a Posterior Cortical Space defined by a distance from a posterior surface of the natural lens nucleus along the optical axis of the eye to a posterior surface of the natural lens, which is a posterior surface of the lens capsule; and ACX is an Anterior Cortical Space defined by a distance from the anterior surface of the natural lens, which is the anterior surface of the lens capsule along the optical axis of the eye to the anterior surface of the natural lens nucleus.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 2.375
- Patent Class: 351.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14613225', '13063326', '14969264', '13871301', '14564754']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5425173290433728
- 35 USC 102 Novelty (BERT): 0.604341924585269
- Combined Prediction Score: 0.5486997885975624
- Mean Citation Score: 297.787598
- Max Citation Score: 552.4826
- Similarity Product: 484.9955639591218

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