AIMC Topic: Biometry

Clear Filters Showing 121 to 130 of 145 articles

Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms.

Veterinary medicine and science Jul 1, 2025
BACKGROUND: Machine learning systems learn from historical data to forecast future outcomes. In the context of livestock farming, machine learning can be utilized to predict variables such as growth rates, milk production and breeding success by anal...
Machine Learning Algorithms Body Weight Sheep Biometry Weaning Sheep, Domestic Female Animals Male Animal Husbandry
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Predictive athlete performance modeling with machine learning and biometric data integration.

Scientific reports May 11, 2025
The Purpose of this study is to propose a new integrative framework for athletic performance prediction based on state-of-the-art machine learning analysis and biometric data biometric scanning. By merging physiological signals i.e., Heart rate varia...
Heart Rate Athletic Performance Athletes Biometry Young Adult Humans Adult Neural Networks, Computer Male Machine Learning Oxygen Consumption Female
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Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

Journal of cataract and refractive surgery May 1, 2025
PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vault and the ideal implantable collamer lens (ICL) size, considering for the first time the implantation orientation in a White population.
Anterior Eye Segment Lens Implantation, Intraocular Machine Learning Phakic Intraocular Lenses Retrospective Studies Tomography, Optical Coherence Female Datasets as Topic Young Adult Random Allocation Biometry Middle Aged Humans Myopia Adult Visual Acuity Male
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Individualized multi-treatment response curves estimation using RBF-net with shared neurons.

Biometrics Jan 7, 2025
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm...
Bayes Theorem Markov Chains Organ Dysfunction Scores Monte Carlo Method Length of Stay Sepsis Treatment Outcome Models, Statistical Biometry Statistics, Nonparametric Humans Computer Simulation Precision Medicine Intensive Care Units Neural Networks, Computer Algorithms
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Prediction of vaults in eyes with vertical implantable collamer lens implantation.

Journal of cataract and refractive surgery Jan 1, 2025
PURPOSE: To design formulas for predicting postoperative vaults in vertical implantable collamer lens (ICL) implantation and to achieve more precise predictions using machine learning models.
Retrospective Studies Female Young Adult Adult Male Humans Machine Learning Biometry Lens Implantation, Intraocular Phakic Intraocular Lenses Middle Aged Refraction, Ocular Myopia Visual Acuity
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Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.

JAMA Aug 27, 2024
IMPORTANCE: Accurate assessment of gestational age (GA) is essential to good pregnancy care but often requires ultrasonography, which may not be available in low-resource settings. This study developed a deep learning artificial intelligence (AI) mod...
Humans Artificial Intelligence Gestational Age Biometry Adult Software Crown-Rump Length Zambia Prospective Studies Point-of-Care Systems Pregnancy Ultrasonography, Prenatal Female Pregnancy Trimester, First
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Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students.

Translational vision science & technology Aug 1, 2024
PURPOSE: To develop and validate machine learning (ML) models for predicting cycloplegic refractive error and myopia status using noncycloplegic refractive error and biometric data.
Child, Preschool Child ROC Curve East Asian People Mydriatics Area Under Curve Biometry Refractive Errors Prevalence China Adolescent Male Students Refraction, Ocular Myopia Humans Machine Learning Female Cross-Sectional Studies
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Predicting intraocular lens tilt using a machine learning concept.

Journal of cataract and refractive surgery Aug 1, 2024
PURPOSE: To use a combination of partial least squares regression and a machine learning approach to predict intraocular lens (IOL) tilt using preoperative biometry data.
Pseudophakia Lens Implantation, Intraocular Artificial Lens Implant Migration Visual Acuity Tomography, Optical Coherence Phacoemulsification Biometry Male Middle Aged Refraction, Ocular Lenses, Intraocular Prospective Studies Female Aged Humans Machine Learning
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Ocular Biometric Components in Hyperopic Children and a Machine Learning-Based Model to Predict Axial Length.

Translational vision science & technology May 1, 2024
PURPOSE: The purpose of this study was to investigate the development of optical biometric components in children with hyperopia, and apply a machine-learning model to predict axial length.
Cornea Male Refraction, Ocular Child, Preschool Humans Machine Learning Female Hyperopia Child Biometry Anterior Chamber Axial Length, Eye
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Biometric contrastive learning for data-efficient deep learning from electrocardiographic images.

Journal of the American Medical Informatics Association : JAMIA Apr 3, 2024
OBJECTIVE: Artificial intelligence (AI) detects heart disease from images of electrocardiograms (ECGs). However, traditional supervised learning is limited by the need for large amounts of labeled data. We report the development of Biometric Contrast...
Biometry Deep Learning Humans Electrocardiography Artificial Intelligence Atrial Fibrillation
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