Customization of medical implants using 3D printing
-
M. Jawahar
and
S. P. Sundar Singh Sivam
Abstract
Three-dimensional (3D) printing technology has dramatically changed the approaches to developing and designing implants and other medical devices. In composing this chapter, the author provides an understanding of 3D printing3D printing in medicine, being historically developed, currently applied, and potentially powerful in the future. The advancements in body models, custom implants and prostheses, enhanced planning of operations, and formation of 3D models based on the anatomy of different patients can be listed as the major achievements. The chapter also looks at the limitations and challenges of developing and implementing fast, accurate visualization and simulation of surgeries such as the integration of new technology into existing practices, legislation, and costs. The chapter focuses on how the renowned scientific advancements and studies in the area of 3D printing revolutionize surgical precision, patient care, and training. New possibilities of individualized treatment are opening before humanity by virtue of 3D medicine3D medicine; therefore, its further research and development are most essential for a fast-growing segment.
Abstract
Three-dimensional (3D) printing technology has dramatically changed the approaches to developing and designing implants and other medical devices. In composing this chapter, the author provides an understanding of 3D printing3D printing in medicine, being historically developed, currently applied, and potentially powerful in the future. The advancements in body models, custom implants and prostheses, enhanced planning of operations, and formation of 3D models based on the anatomy of different patients can be listed as the major achievements. The chapter also looks at the limitations and challenges of developing and implementing fast, accurate visualization and simulation of surgeries such as the integration of new technology into existing practices, legislation, and costs. The chapter focuses on how the renowned scientific advancements and studies in the area of 3D printing revolutionize surgical precision, patient care, and training. New possibilities of individualized treatment are opening before humanity by virtue of 3D medicine3D medicine; therefore, its further research and development are most essential for a fast-growing segment.
Chapters in this book
- Frontmatter I
- Contents V
- List of contributors VII
- Deep learning in computer vision 1
- Deep learning for medical image segmentation 51
- Deep learning for image segmentation 107
- Machine learning algorithm for medical image processing 155
- Machine learning models for predicting anomaly in scanned images 215
- Advanced machine learning models for accurate and efficient anomaly detection in scanned visual data 263
- AI-enhanced diagnostic materials improving sensitivity for disease detection and diagnostics 311
- Machine learning approaches for optimizing the synthesis and functionalization of quantum dots for medical imaging 353
- Machine learning application in tissue engineering: scaffold design 407
- Machine learning approaches to improve electrospun nanofibers’ performance and properties for medical applications 441
- Predictive machine learning models for assessing the long-term stability of biodegradable scaffolds 483
- Customization of medical implants using 3D printing 523
- Index 559
- De Gruyter Series in Advanced Mechanical Engineering
Chapters in this book
- Frontmatter I
- Contents V
- List of contributors VII
- Deep learning in computer vision 1
- Deep learning for medical image segmentation 51
- Deep learning for image segmentation 107
- Machine learning algorithm for medical image processing 155
- Machine learning models for predicting anomaly in scanned images 215
- Advanced machine learning models for accurate and efficient anomaly detection in scanned visual data 263
- AI-enhanced diagnostic materials improving sensitivity for disease detection and diagnostics 311
- Machine learning approaches for optimizing the synthesis and functionalization of quantum dots for medical imaging 353
- Machine learning application in tissue engineering: scaffold design 407
- Machine learning approaches to improve electrospun nanofibers’ performance and properties for medical applications 441
- Predictive machine learning models for assessing the long-term stability of biodegradable scaffolds 483
- Customization of medical implants using 3D printing 523
- Index 559
- De Gruyter Series in Advanced Mechanical Engineering
