In the on-going movement toward developing a personalised approach to medicine, the availability and continuous refinement of patient-specific three-dimensional (3D) models manufactured by means of rapid prototyping (3D printing) technology represent the embodiment of this vision, when personalised unique models are used from surgical planning to customisation of implants. As schematically summarised (Fig. 1), imaging and image-based modelling are a key dimension of personalised medicine, and advances in imaging and radiology concurrent with the advent of 3D printing technology have enabled a whole field to flourish. Today, medical 3D printing and 3D medical tools (which we can indicate for brevity as 3D+, incorporating digital applications of 3D modelling such as virtual and mixed reality) and their integration with other technologies such as Artificial Intelligence have evolved from the research and academic domains to, increasingly, a true point-of-care (POC) practice, whereby models are used in a clinic, by the bedside or even in a patient’s home, i.e. those settings where care is delivered.

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Medical 3D Printing: A Fruitful and Impactful Field for Collaboration and Interdisciplinarity

  • Giovanni Biglino,
  • Karen Eich Hammer,
  • Carina Hopfner,
  • Francesco Moscato,
  • Marina Nagel,
  • Gunpreet Coudert Oberoi,
  • Arnau Valls-Esteve,
  • Alessandro Tel

摘要

In the on-going movement toward developing a personalised approach to medicine, the availability and continuous refinement of patient-specific three-dimensional (3D) models manufactured by means of rapid prototyping (3D printing) technology represent the embodiment of this vision, when personalised unique models are used from surgical planning to customisation of implants. As schematically summarised (Fig. 1), imaging and image-based modelling are a key dimension of personalised medicine, and advances in imaging and radiology concurrent with the advent of 3D printing technology have enabled a whole field to flourish. Today, medical 3D printing and 3D medical tools (which we can indicate for brevity as 3D+, incorporating digital applications of 3D modelling such as virtual and mixed reality) and their integration with other technologies such as Artificial Intelligence have evolved from the research and academic domains to, increasingly, a true point-of-care (POC) practice, whereby models are used in a clinic, by the bedside or even in a patient’s home, i.e. those settings where care is delivered.