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 1):
A method for determining preoperative estimation of postoperative intraocular lens position of an intraocular lens, comprising:\n an optical biometric machine that determines: an axial length (AL) of an eye which is a distance from an anterior surface of a cornea of the eye along an optical axis of the eye to an anterior surface of a retina of the eye within a fovea region of the eye, with the optical axis being a reference line along which light propagates through the eye; an Ante-Nucleus Distance (AND) of the eye, which is a distance from the anterior surface of cornea of the eye along the optical axis of the eye to an anterior surface of a natural lens nucleus of the eye; and a Retro-Nucleus Distance (RND), which is a distance from the anterior surface of the natural lens nucleus of the eye to a posterior surface of a natural lens capsule of the eye; with an Estimated Anterior Pseudophakic Distance (EAPD) for position of the intraocular lens is calculated in accordance with:\n EAPD= W 1 +( W 2 \u00d7AND)+( W 3 \u00d7RND)+( W 4 \u00d7AL), \n Where W 1 , W 2 , W 3 , and W 4  are constant coefficients.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 2.375
- Patent Class: 351.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14613225', '13063326', '14969264', '13871301', '14564754']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5066759361796032
- 35 USC 102 Novelty (BERT): 0.6171531915070552
- Combined Prediction Score: 0.5177236617123484
- Mean Citation Score: 297.787598
- Max Citation Score: 552.4826
- Similarity Product: 547.106559399438

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test