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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
Articles
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Effects of autoclaving and disinfection on 3D surgical guides using LCD technology for dental implant
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Patient-specific implants made of 3D printed bioresorbable polymers at the point-of-care: material, technology, and scope of surgical application
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Two-photon lithography for customized microstructured surfaces and their influence on wettability and bacterial load
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Additive manufacturing inert gas flow path strategies for multi-laser powder bed fusion systems and their impact on lattice structure mechanical responses
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COVID-19 and the role of 3D printing in medicine
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DICOM segmentation and STL creation for 3D printing: a process and software package comparison for osseous anatomy
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3D printing in medicine of congenital heart diseases
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Additively manufactured medical products – the FDA perspective
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Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios
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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.
Article collections
Desktop Vat Polymerization (Stereolithography)
Guest editor: Dr Prashanth Ravi
Advanced Image Segmentation and Modeling
Guest editor: Dr Nicole Wake
Recent blogs
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How 3D printing can help veterinarians with surgical planning for dogs
13 September 2022
Indexing
We 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.
Annual Journal Metrics
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2022 Citation Impact
3.7 - 2-year Impact Factor2023 Speed
7 days submission to first editorial decision for all manuscripts (Median)
62 days submission to accept (Median)2023 Usage
303,911 downloads
175 Altmetric mentions
- ISSN: 2365-6271 (electronic)