Computer-Assisted Diagnosis and Personalized Treatment of Fracture

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: 20 July 2024 | Viewed by 1028

Special Issue Editor


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Guest Editor
Department of Computer Sciences, Universidad de Jaén, Campus Las Lagunillas s/n, 23071 Jaén, Spain
Interests: bone modeling; bone fracture simulation; medical image analysis; image diagnosis; generative methods; computer-assisted surgery; gerontechnology; computer graphics

Special Issue Information

Dear Colleagues,

This Special Issue explores the convergence of computational sciences, medical imaging and artificial intelligence (AI) to revolutionize the diagnosis and personalized treatment of bone fractures. Contributions span diverse domains, from computer-assisted simulations and innovative medical data processing methods to advanced fracture analysis and surgical planning tools. The scope encompasses breakthroughs in representation, visualization and geometry modeling, while exploring the integration of computer graphics and engineering principles in fracture management. Articles cover topics such as automatic fracture generation, multiscale models and forensic analysis of fractures, also considering works that utilize AI for these topics. The issue also explores the intersection of technology and surgery aids, featuring operative planning tools, medical imaging advancements and the immersive potential of virtual reality in fracture diagnosis and patient education. This collection serves as a comprehensive guide for researchers, practitioners and medical professionals navigating the cutting edge of computer-assisted approaches to fractures, promising transformative advancements in the field.

Dr. Juan José Jiménez-Delgado
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fracture diagnosis
  • computer-assisted simulation
  • artificial intelligence in orthopedics
  • medical imaging advances
  • personalized fracture treatment
  • computational fracture analysis
  • surgical planning tools
  • virtual reality in orthopedics
  • forensic analysis of fractures
  • multiscale modeling of bone

Published Papers (1 paper)

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Research

18 pages, 1627 KiB  
Article
Exploring Fracture Patterns: Assessing Representation Methods for Bone Fracture Simulation
by Francisco Daniel Pérez-Cano, Gema Parra-Cabrera, Ivett Vilchis-Torres, José Javier Reyes-Lagos and Juan José Jiménez-Delgado
J. Pers. Med. 2024, 14(4), 376; https://doi.org/10.3390/jpm14040376 - 30 Mar 2024
Viewed by 810
Abstract
Fracture pattern acquisition and representation in human bones play a crucial role in medical simulation, diagnostics, and treatment planning. This article presents a comprehensive review of methodologies employed in acquiring and representing bone fracture patterns. Several techniques, including segmentation algorithms, curvature analysis, and [...] Read more.
Fracture pattern acquisition and representation in human bones play a crucial role in medical simulation, diagnostics, and treatment planning. This article presents a comprehensive review of methodologies employed in acquiring and representing bone fracture patterns. Several techniques, including segmentation algorithms, curvature analysis, and deep learning-based approaches, are reviewed to determine their effectiveness in accurately identifying fracture zones. Additionally, diverse methods for representing fracture patterns are evaluated. The challenges inherent in detecting accurate fracture zones from medical images, the complexities arising from multifragmentary fractures, and the need to automate fracture reduction processes are elucidated. A detailed analysis of the suitability of each representation method for specific medical applications, such as simulation systems, surgical interventions, and educational purposes, is provided. The study explores insights from a broad spectrum of research articles, encompassing diverse methodologies and perspectives. This review elucidates potential directions for future research and contributes to advancements in comprehending the acquisition and representation of fracture patterns in human bone. Full article
(This article belongs to the Special Issue Computer-Assisted Diagnosis and Personalized Treatment of Fracture)
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