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Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications
Saman Mohammadnabi1, Nima Moslemy2, Hadi Taghvaei1
1Energy and Mechanical Engineering Department, Shahid Beheshti University, Tehran 1983969411, Iran.
Summary
Artificial intelligence (AI) enhances additive manufacturing (AM) for healthcare, optimizing processes from design to final product. This integration ensures high-quality, subject-specific biomedical products like prosthetics and tissue engineering scaffolds.
Area of Science:
- Biomedical Engineering
- Materials Science
- Computer Science
Background:
- Additive Manufacturing (AM) is increasingly vital in healthcare for personalized medical solutions.
- Meeting subject-specific requirements in healthcare interventions necessitates advanced manufacturing techniques.
- Integrating Artificial Intelligence (AI) offers a pathway to optimize AM processes for enhanced healthcare applications.
Purpose of the Study:
- To review the application of AI in pre-, during-, and post-additive manufacturing processes for healthcare.
- To explore how AI can enhance subject-specific requirements in biomedical product development.
- To assess the potential of AI in optimizing the entire AM cycle for resource efficiency and quality.
Main Methods:
- Review of common AM processes and AI tools (supervised, unsupervised, deep learning, reinforcement learning).
- Analysis of AI's role in pre-processing (design, material formulation, parameter optimization).
- Examination of AI's function during printing (hardware, configurations, operational parameters) and post-processing (finishing, accuracy, bioactivity).
Main Results:
- AI significantly enhances structural design, image reconstruction, material formulation, and processing parameters in AM.
- AI optimizes printing configurations, operational parameters (e.g., temperature), and post-processing steps like surface finishing and curing.
- AI facilitates understanding of AM process-property-performance relationships, crucial for bioactivity and dimensional accuracy.
Conclusions:
- AI is a powerful tool for additive manufacturing of biomedical products, including tissue engineering, prosthetics, and lab-on-chip devices.
- AI enables resource-efficient, subject-specific healthcare product development by optimizing the entire AM workflow.
- AI integration in AM holds high potential for creating high-quality healthcare products with enhanced compliance specifications.
