PATENT CLAIM ANALYSIS

Application Number: 16061919
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["623", "006110"]

Abstract:
Knowledge of the anatomical, post-operative position and orientation influences not only the selection of the IOL to be implanted but also the result of the refractive operation on the eye. In the method for selecting an IOL to be transplanted into an eye on the basis of the prediction of the anatomical, post-operative position (ALP) and orientation thereof, based on pre-operative measuring values such as, for example, anterior chamber depth (VKT), lens thickness (LD) and axial eye length (AL), the invention additionally or exclusively uses the curvature(s) of the eye lens or measuring values derived therefrom. The proposed method is used to predict the anatomical, post-operative position (ALP) and orientation of an intraocular lens (IOL) to be transplanted into an eye.

Claim (Index 17):
The method according to  claim 12 , further comprising detecting curvatures of both a front as well as a rear surface of the eye lens, and extrapolating both curvatures of the front and rear surface of the eye lens to intersect by adapting of functions and wherein an intersection point of a straight line through the intersection point of both curvatures corresponds with the optical axis of the orientation of the capsular bag equator or with a measuring value that is correlating thereto.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 94.0
- Lexical Diversity: 2.1
- Patent Class: 623.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14130120', '15396937', '15103299', '14003151', '13207677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7727666837366454
- 35 USC 102 Novelty (BERT): 0.4933688522588687
- Combined Prediction Score: 0.7448269005888677
- Mean Citation Score: 271.65785000000005
- Max Citation Score: 295.15802
- Similarity Product: 215.8038278960073

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