Download file (2.11MB)
Download as zip (1.96MB)

コレクション

引用

説明:

Additive manufacturing (AM) is a powerful approach in healthcare to augment the functionalities of patient-specific medical products and surgical tools. One such area of the healthcare industry is surgical planningand procedures, where the benefits of AM can revolutionize the industry. AM technologies, commonlyknown as three-dimensional (3D) printing, can change the conventional surgical methodology from the‘‘open-detect–operate-close’’ mode to the ‘‘detect-open–operate-close’’ mode. However, the use of 3Dprinting in surgical planning has been hampered by the limited availability of literature reports thoroughlyexamining the advantages and drawbacks of this technology in clinical settings. Hence, this review exploresthe widespread use of additive manufacturing, multi-materials, metamaterials, 4D printing, and artificialintelligence in surgical planning for complex surgical procedures of the spine and in orthopedics, dentistry,cardiology, gynecology, and neurology. This review focuses on meticulously adjusting the lattice structureof metamaterials during 3D printing to achieve specific mechanical properties. It further delves into 4Dprinting to achieve dynamic capabilities in 3D printed models for better integration with the host tissue.Furthermore, it highlights the key aspects of combining AM with artificial intelligence/machine learning (AI/ML) models in healthcare to automate 3D model production and thereby reduce human intervention. Thiscomprehensive review offers bioengineers, clinical scientists, and clinicians a platform to explore AM and itspotential for addressing pre- and post-surgical operation challenges, providing valuable insights forbiomedical engineering and healthcare advancements

権利情報:

• In Copyright
  

キーワード: 3D printing, additive manufacturing

刊行年月日: 2025-06-11

出版者: Royal Society of Chemistry (RSC)

掲載誌:

• Materials Horizons (ISSN: 20516347) vol. 12 issue. 19 p. 7814-7864

研究助成金:

• Department of Higher Education, India
• Science and Engineering Research Board SRG/2019/001504
• Science and Engineering Research Board SRG/2021/000859
• Prince Sultan University

原稿種別: 著者最終稿 (Accepted manuscript)

MDR DOI: https://doi.org/10.48505/nims.5960

公開URL: https://doi.org/10.1039/d5mh00501a

関連資料:

その他の識別子:

連絡先:

更新時刻: 2025-12-04 17:56:26 +0900

MDRでの公開時刻: 2026-06-11 08:30:59 +0900