ArticleMaterials (Basel, Switzerland)2020
AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications.
Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 101 citations in OpenAlex.
- Modeling of Biomechanical and Functional Parameters of Hydrogel-Cell Composites Fabricated by 3D Bioprinting Using AI-Supported Approach.Materials (Basel, Switzerland) · 2026Article
- Applications of artificial intelligence in mechanical engineering for the field of upper limb exoskeletons.Scientific reports · 2026Article
- A Hybrid Fuzzy-PSO Framework for Multi-Objective Optimization of Stereolithography Process Parameters.Micromachines · 2025Article
- State of Research on Tissue Engineering with 3D Printing for Breast Reconstruction.Journal of clinical medicine · 2025Review
- A Point-Line-Area Paradigm: 3D Printing for Next-Generation Health Monitoring Sensors.Sensors (Basel, Switzerland) · 2025Review
- Article
- Biomimetic structural design in 3D-printed scaffolds for bone tissue engineering.Materials today. Bio · 2025Review
- Mechanical Characterization of FDM 3D-Printed Components Using Advanced Measurement and Modeling Techniques.Materials (Basel, Switzerland) · 2025Article
- Tendon regeneration deserves better: focused review onFrontiers in bioengineering and biotechnology · 2025Review
- New Frontiers in Breast Cancer Imaging: The Rise of AI.Bioengineering (Basel, Switzerland) · 2024Review
- Application of artificial intelligence in 3D printing physical organ models.Materials today. Bio · 2023Review
- Use of Artificial Intelligence in the Advancement of Breast Surgery and Implications for Breast Reconstruction: A Narrative Review.Journal of clinical medicine · 2023Review
- Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials.Materials (Basel, Switzerland) · 2023Review
- Contemporary Role and Applications of Artificial Intelligence in Dentistry.F1000Research · 2023Review
- Investigating brain cortical activity in patients with post-COVID-19 brain fog.Frontiers in neuroscience · 2023Article
- Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring.Sensors (Basel, Switzerland) · 2022Article
- AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm.Sensors (Basel, Switzerland) · 2022Article
- Tensile Properties of Additively Manufactured Thermoplastic Composites Reinforced with Chopped Carbon Fibre.Materials (Basel, Switzerland) · 2022Article
- Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach.Materials (Basel, Switzerland) · 2022Article
- Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing.Materials (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
While the intensity, complexity, and specificity of robotic exercise may be supported by patient-tailored three-dimensional (3D)-printed solutions, their performance can still be compromised by non-optimal combinations of technological parameters and material features. The main focus of this paper was the computational optimization of the 3D-printing process in terms of features and material selection in order to achieve the maximum tensile force of a hand exoskeleton component, based on artificial neural network (ANN) optimization supported by genetic algorithms (GA). The creation and 3D-printing of the selected component was achieved using Cura 0.1.5 software and 3D-printed using fused filament fabrication (FFF) technology. To optimize the material and process parameters we compared ten selected parameters of the two distinct printing materials (polylactic acid (PLA), PLA+) using ANN supported by GA built and trained in the MATLAB environment. To determine the maximum tensile force of the exoskeleton, samples were tested using an INSTRON 5966 universal testing machine. While the balance between the technical requirements and user safety constraints requires further analysis, the PLA-based 3D-printing parameters have been optimized. Additive manufacturing may support the successful printing of usable/functional exoskeleton components. The network indicated which material should be selected: Namely PLA+. AI-based optimization may play a key role in increasing the performance and safety of the final product and supporting constraint satisfaction in patient-tailored solutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.