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State-of-the-Art in Precision Medicine of Plastic Surgery
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State-of-the-Art in Precision Medicine of Plastic Surgery

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 812

Special Issue Editors

Dr. Claudio Cannistra

E-Mail Website
Guest Editor
Hôpital Bichat-Claude-Bernard AP-HP, Paris, France
Interests: plastic surgery
Prof. Dr. Hiram Osiris González Gutiérrez

E-Mail Website
Guest Editor
Instituto Jaliscience de Cirugía Reconstructiva “Dr. José Guerrerosantos”, Guadalajara, Jalisco, Mexico
Interests: plastic surgery
Dr. Domenico Tripodi

E-Mail Website
Guest Editor
Department of Surgery, Sapienza University of Rome, 00161 Rome, Italy
Interests: breast cancer, breast surgery; aesthetic and reconstructive breast surgery after breast cancer; reconstructive surgery; body coutouring; regenerative medicine

Special Issue Information

Dear Colleagues,

Over the years, the concept of 'variability' as applied to medicine has expanded disproportionately, which has added complexity, to an already highly articulated picture. In plastic surgery, more than in other fields, the indication and quality of surgery depend on the surgeon's experience and potential surgical pathways related to health and disease status, also influenced by personal history and different environmental exposures. This is why even in the third millennium, plastic surgery remains an art that is practiced by making judgments and decisions, based on information that is far from complete. Although personalized care increasingly attracts the attention of various stakeholders, there is no shortage of critical issues. We invite you to submit papers to enhance knowledge regarding the application of new surgical techniques in the field of reconstructive and cosmetic surgery, turning our gaze to the much sought-after Precision Medicine.

Dr. Claudio Cannistra
Prof. Dr. Hiram Osiris González Gutiérrez
Dr. Domenico Tripodi
Guest Editors

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

  • plastic surgery
  • oncoplastic breast surgery
  • reconstructive surgery
  • aesthetic and cosmetic surgery
  • surgical techniques

Published Papers (1 paper)

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Review

15 pages, 1403 KiB  
Review
Artificial Intelligence Used for Diagnosis in Facial Deformities: A Systematic Review
by Victor Ravelo, Julio Acero, Jorge Fuentes-Zambrano, Henry García Guevara and Sergio Olate
J. Pers. Med. 2024, 14(6), 647; https://doi.org/10.3390/jpm14060647 - 17 Jun 2024
Viewed by 555
Abstract
AI is included in a lot of different systems. In facial surgery, there are some AI-based software programs oriented to diagnosis in facial surgery. This study aims to evaluate the capacity and training of models for diagnosis of dentofacial deformities in class II [...] Read more.
AI is included in a lot of different systems. In facial surgery, there are some AI-based software programs oriented to diagnosis in facial surgery. This study aims to evaluate the capacity and training of models for diagnosis of dentofacial deformities in class II and class III patients using artificial intelligence and the potential use for indicating orthognathic surgery. The search strategy is from 1943 to April 2024 in PubMed, Embase, Scopus, Lilacs, and Web of Science. Studies that used imaging to assess anatomical structures, airway volume, and craniofacial positions using the AI algorithm in the human population were included. The methodological quality of the studies was assessed using the Effective Public Health Practice Project instrument. The systematic search identified 697 articles. Eight studies were obtained for descriptive analysis after exclusion according to our inclusion and exclusion criteria. All studies were retrospective in design. A total of 5552 subjects with an age range between 14.7 and 56 years were obtained; 2474 (44.56%) subjects were male, and 3078 (55.43%) were female. Six studies were analyzed using 2D imaging and obtained highly accurate results in diagnosing skeletal features and determining the need for orthognathic surgery, and two studies used 3D imaging for measurement and diagnosis. Limitations of the studies such as age, diagnosis in facial deformity, and the included variables were observed. Concerning the overall analysis bias, six studies were at moderate risk due to weak study designs, while two were at high risk of bias. We can conclude that, with the few articles included, using AI-based software allows for some craniometric recognition and measurements to determine the diagnosis of facial deformities using mainly 2D analysis. However, it is necessary to perform studies based on three-dimensional images, increase the sample size, and train models in different populations to ensure accuracy of AI applications in this field. After that, the models can be trained for dentofacial diagnosis Full article
(This article belongs to the Special Issue State-of-the-Art in Precision Medicine of Plastic Surgery)
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