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Villapún, et al.
           improvements  over conventional  parts (Figure  7  and   these limitations, this manuscript gives confidence on the
           Table S23). From these responses, it seems likely that   path taken by AM in healthcare while showcasing areas
           both  academics and  manufacturers are  open  to  a  large   of interest for future development throughout the field.
           array of modifications. In contrast, design experts would
           mostly consider structural alterations,  while medical   4. Conclusion
           experts favor antimicrobial modifications (29.4%) while   Herein, a survey was conducted to understand the state
           growth or osseoinductive  treatments  ranked equally  to   of  AM in healthcare through the lens of academics,
           physical functionality (17.6%). This suggests differences   manufacturers, designers, and medical professionals.
           may arise due to expertise, although statistical analysis   Repeatability,  surface  finish,  mechanical  behavior,  cost,
           failed to link field and supplementary functionality.  and biocompatibility are some of the main points cited
               Future  directions  of  the AM  field  depend  on  the   as obstacles for using these technologies, although
           specific need, but it is clear that the main focus overall   differences between their role and impact on the success
           areas surveyed revolve around the exploitation  of   of a printed part exist between professionals. This leads to
           complex functional geometries (Figure 7). As previously   slight variations on the future vision of AM in healthcare
           mentioned, latticed and porous structures are becoming   where manufacturing and medical experts would accept
           of high interest in healthcare due to their ability to limit   its use in both productions of new goods and modification
           aseptic loosening caused by the mismatch in mechanical   of old ones. In contrast, designers were more focused on
           properties  between  device  and native  tissue while
           providing space to deliver complementary therapies [77-79] .   using AM for only new products, preferring to maintain
           Alongside  these  benefits,  latticed  structures  make  it   their old  capabilities  to  produce  previous designs.  All
           possible  to  maintain  mechanical  stability  with  further   experts agree on the importance of process control to
           weight,  waste  and cost  savings, resulting  in  an  overall   ensure the quality of the part; however, in situ monitoring
           interest from all fields. Comprehensibly, more biologically   systems are rare, with most optimization based on
           centered  strategies,  such as antimicrobial  loading or   recommendations of manufacturers and technical experts.
           growth factors, are mostly sought for in academia  and   Interestingly, there seems to be an agreement that some
           research. These seem to indicate that the current research   defects of these processes (i.e., anisotropy or surface
           landscape agrees with the current and future needs of AM   finish) are natural constraints with the necessity to apply
           stakeholders .                                      post processing techniques that are not being highly valued
                     [29]
               The results shown in this research have shed light on   as AM limitations. Personalization and design control are
           the current perspectives and future needs of AM experts   heavily regarded as the main advantages over conventional
           in  academia,  manufacturing,  design,  and  medicine.  It   processes, further indicated by structural optimization
           must be said that the participants only represent a small   being the central functionality desired over conventional
           proportion of knowledge with bias possibly subjected to   devices. All these points indicate that most experts agree
           each professional context. Furthermore, generalization of   on the capabilities of AM, however, misconceptions and
           the conclusions presented in this study may be difficult   different visions still exist in the field. While AM has great
           due  to  the  limited  pool  of participants.  Regardless  of   potential in healthcare, all experts must work in tandem
                                                               and understand the needs and constraints of each step in
                                                               the supply chain. Thus, it is critical that all stakeholders
                                                               must collaborate, ensuring that AM is used not as a magic
                                                               bullet but as another manufacturing process properly
                                                               selected when appropriate.

                                                               Acknowledgments
                                                               The authors would like to express their thanks to all the
                                                               participants of the survey reported in this study, which
                                                               was reviewed and given ethical approval by the Science,
                                                               Technology, Engineering  and Mathematics  Ethical
                                                               Review  Committee  at  the  University  of Birmingham
                                                               (Application  for Ethical  Review ERN_20-0999).
                                                               Graphical abstract was created with BioRender.com.

                                                               Funding

           Figure 7. Supplementary functionality over conventional AM parts   This  research  was developed  as part  of “Invisible
           desired per area of expertise.                      Customization - A Data Driven Approach to Predictive

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