AIMC Topic: Optics and Photonics

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Network meta-analysis of intraocular lens power calculation formulas based on artificial intelligence in short eyes.

BMC ophthalmology Apr 18, 2025
PURPOSE: To systematically assess and compare the accuracy of artificial intelligence (AI) -based intraocular lens (IOL) power calculation formulas with traditional IOL formulas in patients with short eye length.
Lenses, Intraocular Biometry Humans Optics and Photonics Artificial Intelligence Axial Length, Eye Refraction, Ocular
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Evaluation of prediction errors in nine intraocular lens calculation formulas using an explainable machine learning model.

BMC ophthalmology Dec 19, 2024
BACKGROUND: The purpose of the study was to evaluate the relationship between prediction errors (PEs) and ocular biometric variables in cataract surgery using nine intraocular lens (IOL) formulas with an explainable machine learning model.
Cataract Extraction Machine Learning Retrospective Studies Biometry Refraction, Ocular Female Lenses, Intraocular Optics and Photonics Male Visual Acuity Lens Implantation, Intraocular Middle Aged Humans Aged Aged, 80 and over
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Accuracy of 7 Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Extremely Long Caucasian Eyes.

American journal of ophthalmology Nov 12, 2024
PURPOSE: To compare 7 artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in extremely long eyes.
Retrospective Studies Female Reproducibility of Results Aged Humans Artificial Intelligence Refraction, Ocular Lenses, Intraocular Visual Acuity White People Aged, 80 and over Male Middle Aged Axial Length, Eye Lens Implantation, Intraocular Myopia, Degenerative Phacoemulsification Biometry Optics and Photonics
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Accuracy assessment of artificial intelligence IOL calculation formulae: utilizing the heteroscedastic statistics and the Eyetemis Analysis Tool.

Eye (London, England) Sep 25, 2024
OBJECTIVES: To analyse the accuracy of artificial intelligence (AI)-driven intraocular (IOL) calculation formulae, together with established formulae using the heteroscedastic methodology and the Eyetemis Analysis Tool.
Lens Implantation, Intraocular Refraction, Ocular Lenses, Intraocular Visual Acuity Optics and Photonics Pseudophakia Phacoemulsification Biometry Aged, 80 and over Artificial Intelligence Male Retrospective Studies Middle Aged Humans Female Reproducibility of Results Aged
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Partial coherence enhances parallelized photonic computing.

Nature Jul 31, 2024
Advancements in optical coherence control have unlocked many cutting-edge applications, including long-haul communication, light detection and ranging (LiDAR) and optical coherence tomography. Prevailing wisdom suggests that using more coherent light...
Datasets as Topic Silicon Optics and Photonics Sensitivity and Specificity Photons Parkinson Disease Humans Tomography, Optical Coherence Neural Networks, Computer Gait
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Comparing the accuracy of intraocular lens power calculation formulas using artificial intelligence and traditional formulas in highly myopic patients: a meta-analysis.

International ophthalmology Jun 21, 2024
PURPOSE: The accuracy of intraocular lens (IOL) calculations is one of the key indicators for determining the success of cataract surgery. However, in highly myopic patients, the calculation errors are relatively larger than those in general patients...
Reproducibility of Results Refraction, Ocular Lenses, Intraocular Biometry Optics and Photonics Myopia Visual Acuity Humans Artificial Intelligence Myopia, Degenerative
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The LISA-PPV Formula: An Ensemble Artificial Intelligence-Based Thick Intraocular Lens Calculation Formula for Vitrectomized Eyes.

American journal of ophthalmology Mar 6, 2024
PURPOSE: To investigate the relationship between effective lens position (ELP) and patient characteristics, and to further develop a new intraocular lens (IOL) calculation formula for cataract patients with previous pars plana vitrectomy (PPV).
Lens Implantation, Intraocular Biometry Female Vitrectomy Aged Optics and Photonics Aged, 80 and over Lenses, Intraocular Cross-Sectional Studies Male Humans Visual Acuity Cataract Middle Aged Artificial Intelligence Phacoemulsification Refraction, Ocular Retrospective Studies
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Deep learning-driven adaptive optics for single-molecule localization microscopy.

Nature methods Sep 28, 2023
The inhomogeneous refractive indices of biological tissues blur and distort single-molecule emission patterns generating image artifacts and decreasing the achievable resolution of single-molecule localization microscopy (SMLM). Conventional sensorle...
Microscopy Optics and Photonics Brain Deep Learning
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A comprehensive deep learning method for empirical spectral prediction and its quantitative validation of nano-structured dimers.

Scientific reports Jan 20, 2023
Nanophotonics exploits the best of photonics and nanotechnology which has transformed optics in recent years by allowing subwavelength structures to enhance light-matter interactions. Despite these breakthroughs, design, fabrication, and characteriza...
Nanotechnology Optics and Photonics Electromagnetic Fields Deep Learning Nanostructures
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Quantization-aware training for low precision photonic neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2022
Recent advances in Deep Learning (DL) fueled the interest in developing neuromorphic hardware accelerators that can improve the computational speed and energy efficiency of existing accelerators. Among the most promising research directions towards t...
Photons Neural Networks, Computer Computers Optics and Photonics
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