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Call for papers: Cloud-based medical image segmentation for 3D printing in medicine: accuracy, speed, and scalability

3D Printing in Medicine is calling for submissions to our Collection on "Cloud-based medical image segmentation for 3D printing in medicine: accuracy, speed, and scalability". With this topical collection our aim is to help surgeons improve patient outcomes, and assisting them in pre-operative planning, intraoperative visualization, surgical training and patient communications. 

We are excited to announce that 3D Printing in Medicine has received its first impact factor of 3.7 in Web of Science. 

The journal would like to thank our authors, reviewers, editors, and readers for their continued support.

Aims and scope

3D Printing in Medicine publishes 3D printing innovation that impact medicine. Authors can communicate and share Standard Tessellation Language (STL) and related files via the journal. In addition to publishing techniques and trials that will advance medicine with 3D printing, the journal covers "how to" papers to provide a forum for translating applied imaging science.


  1. Authors: Rance Tino, Ryan Moore, Sam Antoline, Prashanth Ravi, Nicole Wake, Ciprian N. Ionita, Jonathan M. Morris, Summer J. Decker, Adnan Sheikh, Frank J. Rybicki and Leonid L. Chepelev

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Featured Article: Generative AI for medical 3D printing: a comparison of ChatGPT outputs to reference standard education

It is written by multiple colleagues from many institutions University of Cincinnati College of Medicine University of Toronto. The University of Texas at Arlington

This work explores the role of natural language AI models in 3D Printing.

In particular, ChatGPT can improve inter-professional collaboration and 3D printing education for researchers; I do believe that it is the first article of its kind in the 3D printing space.

In addition, there are two other aspects of the work that will be valuable to the readership.

1. At this point, there is not much novel comparing ChatGPT versus a medical reference standard. However, for 3D printing the reference standard for medical education itself is thin. Thus we can use ChatGPT to see the ‘state of the art’ of the educational material for 3D printing. I believe this concept is valuable as the educational landscape continures to evolve, even with the inherent limitations of ChatGPT.

2. While I have read several articles (see the references to the paper) that talks about the fabrication/hallucinations that ChatGPT creates. However, if you are seeking the medical literature, please see this trick (see the Figure I uploaded) to simply ask ChatGPT to generate the Boolean search for PubMed. For us, this was quite successful as noted in the article.


New Content ItemWe are pleased to announce that all articles published in 3D Printing in Medicine are included in PubMed and PubMed Central. The PubMed entry can be found here.

3D Printing in Medicine is also indexed in the following services: CNKI; Chinese Academy of Sciences (CAS) - GoOA; DOAJ; Dimensions; EBSCO Discovery Service; El Compendex; EMBASE; Emerging Sources Citation Index (ESCI); Gale; Google Scholar; Institute of Scientific and Technical Information of China; Naver; OCLC WorldCat Discovery Service; ProQuest-ExLibris Primo; ProQuest-ExLibris Summon; Sematic Scholar; TD Net Discovery Service; and WTI Frankfurt eG.

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Annual Journal Metrics

  • 2022 Citation Impact
    3.7 - 2-year Impact Factor

    2023 Speed
    7 days submission to first editorial decision for all manuscripts (Median)
    62 days submission to accept (Median)

    2023 Usage 
    175 Altmetric mentions