AIMC Topic: Eye

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Development of the Self Optimising Kohonen Index Network (SKiNET) for Raman Spectroscopy Based Detection of Anatomical Eye Tissue.

Scientific reports Jul 25, 2019
Raman spectroscopy shows promise as a tool for timely diagnostics via in-vivo spectroscopy of the eye, for a number of ophthalmic diseases. By measuring the inelastic scattering of light, Raman spectroscopy is able to reveal detailed chemical charact...
Spectrum Analysis, Raman Eye Neural Networks, Computer Animals Swine
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Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms.

Journal of medical systems May 22, 2019
Latest studies done on huge data collected from aging features proved that the performance of facial image based age estimation is low and need to be improved. One of the significant biometric traits for human recognition or search is Human age. Age ...
Pattern Recognition, Automated Biometry Eye Machine Learning Algorithms Aging Humans
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Chip-on-tip endoscope incorporating a soft robotic pneumatic bending microactuator.

Biomedical microdevices Aug 13, 2018
In the ever advancing field of minimally invasive surgery, flexible instruments with local degrees of freedom are needed to navigate through the intricate topologies of the human body. Although cable or concentric tube driven solutions have proven th...
Humans Eye Brain Equipment Design Endoscopes Robotic Surgical Procedures Robotics Feasibility Studies
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Comparison of Machine-Learning Classification Models for Glaucoma Management.

Journal of healthcare engineering Jun 19, 2018
This study develops an objective machine-learning classification model for classifying glaucomatous optic discs and reveals the classificatory criteria to assist in clinical glaucoma management. In this study, 163 glaucoma eyes were labelled with fou...
Humans Glaucoma Machine Learning Algorithms Decision Trees Optic Disk Tomography, Optical Coherence Bayes Theorem Nerve Net Regional Blood Flow Eye
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A new hand-eye calibration approach for fracture reduction robot.

Computer assisted surgery (Abingdon, England) Sep 22, 2017
OBJECTIVE: The hand-eye calibration is used to determine the transformation between the end-effector and the camera marker of the robot. But the robot movement in traditional method would be time-consuming, inaccurate and even unavailable in some con...
Fracture Fixation Calibration Eye Manikins Robotics Hand Surgery, Computer-Assisted Humans Algorithms
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Development of Health Parameter Model for Risk Prediction of CVD Using SVM.

Computational and mathematical methods in medicine Aug 9, 2016
Current methods of cardiovascular risk assessment are performed using health factors which are often based on the Framingham study. However, these methods have significant limitations due to their poor sensitivity and specificity. We have compared th...
Support Vector Machine Aged Eye Cohort Studies Australia ROC Curve Regression Analysis Outcome Assessment, Health Care Sensitivity and Specificity Algorithms Genetic Predisposition to Disease Linear Models Male Cardiovascular Diseases Databases, Factual Humans Pattern Recognition, Automated Middle Aged Female Machine Learning Risk Assessment
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Using explainable machine learning to predict the irritation and corrosivity of chemicals on eyes and skin.

Toxicology letters May 15, 2025
Contact with specific chemicals often results in corrosive and irritative responses in the eyes and skin, playing a pivotal role in assessing the potential hazards of personal care products, cosmetics, and industrial chemicals to human health. While ...
Irritants Risk Assessment Caustics Skin Cosmetics Machine Learning Animal Testing Alternatives Computer Simulation Eye Animals Humans
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Detection of Systemic Diseases From Ocular Images Using Artificial Intelligence: A Systematic Review.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) May 13, 2025
PURPOSE: Despite the huge investment in health care, there is still a lack of precise and easily accessible screening systems. With proven associations to many systemic diseases, the eye could potentially provide a credible perspective as a novel scr...
Artificial Intelligence Delivery of Health Care Eye Humans
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[Construction of an interpretable machine learning-based prediction model for the clinical effect on ischemic stroke in treatment with eye acupuncture combined with rehabilitation therapy].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion May 12, 2025
OBJECTIVE: To construct a prediction model for the clinical effect of eye acupuncture combined with rehabilitation therapy on ischemic stroke based on interpretable machine learning.
Female Aged Adult Humans Machine Learning Acupuncture Therapy Eye Stroke Rehabilitation Male Middle Aged Ischemic Stroke
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This AI learnt language by seeing the world through a baby's eyes.

Nature Feb 1, 2024
Infant Models, Neurological Photic Stimulation Humans Neural Networks, Computer Learning Eye Language Development
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