Cargando…

Patient-specific air puff-induced loading using machine learning

Introduction: The air puff test is a contactless tonometry test used to measure the intraocular pressure and the cornea’s biomechanical properties. Limitations that most challenge the accuracy of the estimation of the corneal material and the intraocular pressure are the strong intercorrelation betw...

Descripción completa

Detalles Bibliográficos
Autores principales:	Desouky, Nada A., Saafan, Mahmoud M., Mansour, Mohamed H., Maklad, Osama M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Bioengineering and Biotechnology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663333/ https://www.ncbi.nlm.nih.gov/pubmed/38026883 http://dx.doi.org/10.3389/fbioe.2023.1277970

Ejemplares similares

The Shape of Corneal Deformation Alters Air Puff–Induced Loading
por: Yousefi, Atieh, et al.
Publicado: (2022)

Biomechanical Impact of the Sclera on Corneal Deformation Response to an Air-Puff: A Finite-Element Study
por: Nguyen, B. Audrey, et al.
Publicado: (2019)

Identification of Peripheral Anterior Synechia by Corneal Deformation Using Air-Puff Dynamic Anterior Segment Optical Coherence Tomography
por: Ye, Shuling, et al.
Publicado: (2022)

Simulation of Air Puff Tonometry Test Using Arbitrary Lagrangian–Eulerian (ALE) Deforming Mesh for Corneal Material Characterisation
por: Maklad, Osama, et al.
Publicado: (2019)

A Machine Learning Approach to Estimate Hip and Knee Joint Loading Using a Mobile Phone-Embedded IMU
por: De Brabandere, Arne, et al.
Publicado: (2020)

Tibial Acceleration-Based Prediction of Maximal Vertical Loading Rate During Overground Running: A Machine Learning Approach
por: Derie, Rud, et al.
Publicado: (2020)

Fluid-Structure Interaction Based Algorithms for IOP and Corneal Material Behavior
por: Maklad, Osama, et al.
Publicado: (2020)

Is Training With Gym Machines Safe After Hip Arthroplasty?—An In Vivo Load Investigation
por: Haffer, Henryk, et al.
Publicado: (2022)

Machine Learning in Orthopedics: A Literature Review
por: Cabitza, Federico, et al.
Publicado: (2018)

Editorial: Machine Learning Approaches to Human Movement Analysis
por: Zago, Matteo, et al.
Publicado: (2021)

Bioink Formulation and Machine Learning-Empowered Bioprinting Optimization
por: Freeman, Sebastian, et al.
Publicado: (2022)

Metabolic Modeling Combined With Machine Learning Integrates Longitudinal Data and Identifies the Origin of LXR-Induced Hepatic Steatosis
por: van Riel, Natal A. W., et al.
Publicado: (2021)

Prediction of Genetic Interactions Using Machine Learning and Network Properties
por: Madhukar, Neel S., et al.
Publicado: (2015)

Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers
por: Dias-Audibert, Flávia Luísa, et al.
Publicado: (2020)

Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method
por: Zhang, Zi-Mei, et al.
Publicado: (2020)

A Tale of Two Loads: Modulation of IL-1 Induced Inflammatory Responses of Meniscal Cells in Two Models of Dynamic Physiologic Loading
por: Andress, Benjamin D., et al.
Publicado: (2022)

Different Machine Learning and Deep Learning Methods for the Classification of Colorectal Cancer Lymph Node Metastasis Images
por: Li, Jin, et al.
Publicado: (2021)

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
por: Alhaddad, Ahmad Yaser, et al.
Publicado: (2022)

A New Method for CTC Images Recognition Based on Machine Learning
por: He, Binsheng, et al.
Publicado: (2020)

Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA
por: Yang, Aimin, et al.
Publicado: (2020)

Using Machine Learning to Predict Complications in Pregnancy: A Systematic Review
por: Bertini, Ayleen, et al.
Publicado: (2022)

Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
por: Wang, Ke-Fan, et al.
Publicado: (2022)

Streamlining Natural Products Biomanufacturing With Omics and Machine Learning Driven Microbial Engineering
por: Ramzi, Ahmad Bazli, et al.
Publicado: (2020)

Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia
por: Xu, Zhixiao, et al.
Publicado: (2022)

Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization
por: Danilov, Viacheslav V., et al.
Publicado: (2023)

Subject-Specific Modeling of Femoral Torsion Influences the Prediction of Hip Loading During Gait in Asymptomatic Adults
por: De Pieri, Enrico, et al.
Publicado: (2021)

Wave Intensity Analysis Combined With Machine Learning can Detect Impaired Stroke Volume in Simulations of Heart Failure
por: Reavette, Ryan M., et al.
Publicado: (2021)

A Machine Learning Enhanced Mechanistic Simulation Framework for Functional Deficit Prediction in TBI
por: Schroder, Anna, et al.
Publicado: (2021)

A Machine Learning Approach for Tracing Tumor Original Sites With Gene Expression Profiles
por: Liang, Xin, et al.
Publicado: (2020)

Chronological Age Prediction: Developmental Evaluation of DNA Methylation-Based Machine Learning Models
por: Fan, Haoliang, et al.
Publicado: (2022)

Machine-learned-based prediction of lower extremity overuse injuries using pressure plates
por: Nuyts, Loren, et al.
Publicado: (2022)

Inverse design of anisotropic bone scaffold based on machine learning and regenerative genetic algorithm
por: Liu, Wenhang, et al.
Publicado: (2023)

Exploring the Application of Pattern Recognition and Machine Learning for Identifying Movement Phenotypes During Deep Squat and Hurdle Step Movements
por: Remedios, Sarah M., et al.
Publicado: (2020)

Classification of Infected Necrotizing Pancreatitis for Surgery Within or Beyond 4 Weeks Using Machine Learning
por: Lan, Lan, et al.
Publicado: (2020)

Hand Resting Tremor Assessment of Healthy and Patients With Parkinson’s Disease: An Exploratory Machine Learning Study
por: de Araújo, Ana Camila Alves, et al.
Publicado: (2020)

Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation
por: He, Chunliu, et al.
Publicado: (2020)

PSBP-SVM: A Machine Learning-Based Computational Identifier for Predicting Polystyrene Binding Peptides
por: Meng, Chaolu, et al.
Publicado: (2020)

Machine Learning of Motion Statistics Reveals the Kinematic Signature of the Identity of a Person in Sign Language
por: Bigand, Félix, et al.
Publicado: (2021)

Unraveling the Local Relation Between Tissue Composition and Human Brain Mechanics Through Machine Learning
por: Linka, Kevin, et al.
Publicado: (2021)

A Machine Learning Approach to Investigate the Uncertainty of Tissue-Level Injury Metrics for Cerebral Contusion
por: Menichetti, Andrea, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_b0ujbgb8tb066f42kcug8p735k