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Bioengineering
Special Issues
New Tools for Multidisciplinary Treatment in Dentistry
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New Tools for Multidisciplinary Treatment in Dentistry

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 5105

Special Issue Editors

Dr. Cristina Grippaudo

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Guest Editor
School of Orthodontics, Dental Institute, Catholic University of Sacred Heart, Rome, Italy
Interests: digital orthodontics; pediatric orthodontics; photogrammetry; 3D Imaging; craniofacial growth
Special Issues, Collections and Topics in MDPI journals
Dr. Raffaella Castagnola

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Guest Editor
Dipartimento di Testa-Collo e Organi di Senso, Università Cattolica del Sacro Cuore, Rome, Italy
Interests: endodontics; rotary endodontics; root anatomy; root canal
Dr. Paolo Francesco Manicone

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Guest Editor
Department of Head and Neck, Division of Oral Surgery and Implantology, Institute of Clinical Dentistry, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Gemelli, 00168 Rome, Italy
Interests: molar; tooth extraction; oral surgery
Dr. Gaetano Isola

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Guest Editor
Department of General Surgery and Surgical Medical Specialties, University of Catania, Catania, Italy
Interests: periodontitis; oral cancer; tooth movement; dentistry; biomaterials

Special Issue Information

Dear Colleagues,

Dentistry is a challenging and satisfying field, thanks to the continued development of dental research.

Dental care has evolved into modern preventive and diagnostic care as well as increasingly specific treatments for patients with different characteristics.

Today, in dentistry, the approach is multidisciplinary, and the goal is to evaluate the best treatment, tailoring it to each patient. Collaboration among different specialists has become crucial for clinical success, especially in the most difficult cases. Many tools and protocols have been developed to help clinicians with this purpose, and others are being studied. 

Authors conducting studies on these topics are welcome to submit original research articles, reviews, short communications, case series, and case reports.

Dr. Cristina Grippaudo
Dr. Raffaella Castagnola
Dr. Paolo Francesco Manicone
Dr. Gaetano Isola
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. Bioengineering 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 2700 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

  • dentistry
  • biomaterials
  • deep learning
  • regenerative medicine
  • 3D imaging

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Published Papers (2 papers)

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13 pages, 1626 KiB  
Case Report
Genetic Testing as a Source of Information Driving Diagnosis and Therapeutic Plan in a Multidisciplinary Case
by Cristina Grippaudo, Concetta Cafiero, Nicola Maria Grande, Leonardo Dassatti, Raffaele Palmirotta, Raffaella Castagnola and Gaetano Isola
Bioengineering 2024, 11(10), 1023; https://doi.org/10.3390/bioengineering11101023 - 14 Oct 2024
Viewed by 785
Abstract
In many cases, the etiopathogenesis of oral cavity diseases depends on the presence of variants in some genes. Being able to identify these variants defines the possibilities and limits of therapies. This multidisciplinary case describes several pathologies of the oral cavity in a [...] Read more.
In many cases, the etiopathogenesis of oral cavity diseases depends on the presence of variants in some genes. Being able to identify these variants defines the possibilities and limits of therapies. This multidisciplinary case describes several pathologies of the oral cavity in a young patient affected by type 1 diabetes. The patient presented with an impacted palatal canine. Further investigation revealed cervical root resorption of the upper right central incisor. Genetic testing was performed for interleukin, VDR receptor genes, and the evaluation of periodontopathogenic bacteria. The mutational analysis carried out for the VDR polymorphisms and the IL1A, IL1B, IL6, and IL10 polymorphisms showed the presence of pathogenetic variants. The results for bacterial load showed the presence of periodontal pathogenes. The first intervention was the intentional replantation of the incisor. The second intervention was the orthodontic recovery of the impacted canine, using light forces and a hybrid anchorage with a miniscrew. At the end of orthodontic treatment, a crack was found in the upper left first premolar, which was extracted. Throughout treatment, non-invasive periodontal interventions were performed periodically to control periodontal inflammation. This case is an example of the integration of genetic analyses into the multidisciplinary diagnostic pathway. Full article
(This article belongs to the Special Issue New Tools for Multidisciplinary Treatment in Dentistry)
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12 pages, 632 KiB  
Systematic Review
The Role and Applications of Artificial Intelligence in Dental Implant Planning: A Systematic Review
by Monica Macrì, Vincenzo D’Albis, Giuseppe D’Albis, Marta Forte, Saverio Capodiferro, Gianfranco Favia, Abdulrahman Omar Alrashadah, Victor Diaz-Flores García and Felice Festa
Bioengineering 2024, 11(8), 778; https://doi.org/10.3390/bioengineering11080778 - 31 Jul 2024
Cited by 1 | Viewed by 3946
Abstract
Artificial intelligence (AI) is revolutionizing dentistry, offering new opportunities to improve the precision and efficiency of implantology. This literature review aims to evaluate the current evidence on the use of AI in implant planning assessment. The analysis was conducted through PubMed and Scopus [...] Read more.
Artificial intelligence (AI) is revolutionizing dentistry, offering new opportunities to improve the precision and efficiency of implantology. This literature review aims to evaluate the current evidence on the use of AI in implant planning assessment. The analysis was conducted through PubMed and Scopus search engines, using a combination of relevant keywords, including “artificial intelligence implantology”, “AI implant planning”, “AI dental implant”, and “implantology artificial intelligence”. Selected articles were carefully reviewed to identify studies reporting data on the effectiveness of AI in implant planning. The results of the literature review indicate a growing interest in the application of AI in implant planning, with evidence suggesting an improvement in precision and predictability compared to traditional methods. The summary of the obtained findings by the included studies represents the latest AI developments in implant planning, demonstrating its application for the automated detection of bones, the maxillary sinus, neuronal structure, and teeth. However, some disadvantages were also identified, including the need for high-quality training data and the lack of standardization in protocols. In conclusion, the use of AI in implant planning presents promising prospects for improving clinical outcomes and optimizing patient management. However, further research is needed to fully understand its potential and address the challenges associated with its implementation in clinical practice. Full article
(This article belongs to the Special Issue New Tools for Multidisciplinary Treatment in Dentistry)
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