System and method for determining features of eye structure including shape and position

Through deep learning systems and computer vision devices, combined with convolutional neural networks and U-Net information methods, the accuracy of eye structure feature characterization and laser beam guidance is solved, and high-precision ophthalmic treatment and surgery are achieved, which improves the treatment Accuracy and security.

CN119233797APending Publication Date: 2024-12-31LENSAR INC
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Patent Information

Application Number
CN202380039388.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2022-03-17
Filing Date
2023-03-17
Publication Date
2024-12-31

AI Technical Summary

Technical Problem

The prior art has difficulty characterizing eye structural features with high accuracy, especially in the challenge of automatically guiding and aiming laser beams or other forms of energy to a specific structure or its location, affecting the accuracy and effectiveness of ophthalmic treatments and procedures.

Method used

Using deep learning systems and computer vision devices, combined with convolutional neural networks and U-Net information methods, provides high-quality eye structural features through observation and modeling data, and is used to adjust the delivery position and pattern of the treatment laser beam, integrating Laser-phacoemulsification system for high-precision ophthalmic treatment.

Benefits of technology

Significantly improves the certainty of eye structural features and the accuracy of treatment, enhances the accuracy of laser and phacoemulsification surgery, and can provide high-quality characterization in challenging situations, ensuring the safety and effectiveness of treatment.

✦ Generated by Eureka AI based on patent content.

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Abstract

Systems, devices, and methods for performing a deep learning process to determine eye structural features. Deep learning, imaging devices and methods for laser and phacoemulsification procedures. An integrated imaging device includes a femtosecond laser-ultrasonic emulsification laser-ultrasonic system and a computer vision device. Methods of training and using computer vision devices in ophthalmic treatment systems and therapies.
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