Artificial Intelligence in Prosthesis and Rehabilitation: Advancements and Challenges

A special issue of Prosthesis (ISSN 2673-1592). This special issue belongs to the section "Prosthodontics".

Deadline for manuscript submissions: 9 June 2025 | Viewed by 10704

Special Issue Editor


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Guest Editor
1. Department of Biomedical and Dental Sciences, Morphological and Functional Images, School of Dentistry University of Messina, 98100 Messina, Italy
2. Multidisciplinary Department of Medical-Surgical and Odontostomatological Specialties, University of Campania “Luigi Vanvitelli”, 80121 Naples, Italy
Interests: oral health; public health; systemic disease; biomaterials; microbiomes; infection risk; oral surgery; rehabilitative medicine; environment disinfection
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Special Issue Information

Dear Colleagues,

Advancements in artificial intelligence (AI) have opened new doors for the field of prosthesis and rehabilitation, enabling more precise, efficient, and personalized care for individuals with limb loss or dysfunction. The application of AI can lead to better outcomes in the design, control, and adaptation of prosthetic devices, as well as in the delivery of rehabilitation programs. This Special Issue aims to showcase the latest research, technologies, and innovations in the field of AI-assisted prosthesis and rehabilitation, and to explore the challenges and opportunities that lie ahead. One area that is ripe for AI applications is prosthodontics, which deals with the design, fabrication, and fitting of artificial dental prostheses. AI can enhance various aspects of prosthodontics, from diagnosis and treatment planning to the fabrication and maintenance of dental prostheses. The use of AI in prosthodontics can improve the accuracy, efficiency, and patient outcomes, leading to a more personalized and effective approach to dental care.

Topics:

AI-assisted diagnosis and treatment planning: this topic will cover the use of AI in analyzing and interpreting clinical data, including radiographic images, intraoral scans, and patient records, to assist in the diagnosis and treatment planning of prosthodontic cases. This topic will cover the use of AI in the development of prosthetic devices, including the integration of sensors, machine learning algorithms, and neural interfaces to improve the accuracy, speed, and adaptability of limb prostheses.

AI-assisted prosthesis fabrication: this topic will cover the use of AI in the design and fabrication of dental prostheses, including computer-aided design and manufacturing (CAD/CAM) systems, additive manufacturing, and other emerging technologies that can improve the precision, efficiency, and quality of prosthetic restorations.

AI-assisted prosthetic maintenance: this topic will cover the use of AI in monitoring and maintaining dental prostheses, including the use of sensors, predictive algorithms, and other technologies that can detect and prevent complications such as fracture, wear, and loosening of the prosthesis.

AI-assisted rehabilitation: this topic will cover the use of AI in the delivery of rehabilitation programs, including virtual reality, robotics, and other technologies that can enhance the efficiency, safety, and efficacy of therapy.

Ethical and societal considerations: this topic will address the ethical, legal, and societal implications of AI in prosthesis and rehabilitation, including issues related to privacy, autonomy, discrimination, and bias.

The Special Issue on "Artificial Intelligence in Prosthesis and Rehabilitation" aims to showcase the potential of AI to revolutionize the field of prosthesis and rehabilitation, while also highlighting the ethical and societal considerations that arise from its use. We hope that this issue will stimulate further research and discussion on the topic and contribute to the development of new and innovative approaches to enhancing the quality of life for individuals with limb loss or dysfunction. We hope to provide stimulating further research and discussion on the topic, as well as contribute to the development of new and innovative approaches to improving the quality of dental care for patients.

Prof. Dr. Luca Fiorillo
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. Prosthesis is an international peer-reviewed open access semimonthly 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 1600 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

  • artificial intelligence
  • prosthodontics
  • rehabilitation
  • machine learning
  • dental prostheses
  • assistive technology

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Published Papers (1 paper)

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Review

19 pages, 1306 KiB  
Review
AI in Prosthodontics: A Narrative Review Bridging Established Knowledge and Innovation Gaps Across Regions and Emerging Frontiers
by Laura Iosif, Ana Maria Cristina Țâncu, Oana Elena Amza, Georgiana Florentina Gheorghe, Bogdan Dimitriu and Marina Imre
Prosthesis 2024, 6(6), 1281-1299; https://doi.org/10.3390/prosthesis6060092 - 28 Oct 2024
Cited by 2 | Viewed by 5363
Abstract
As the discipline of prosthodontics evolves, it encounters a dynamic landscape characterized by innovation and improvement. This comprehensive analysis underscores future developments and transformative solutions across its various subspecialties: fixed, removable, implant, and maxillofacial prosthodontics. The narrative review examines the latest advancements in [...] Read more.
As the discipline of prosthodontics evolves, it encounters a dynamic landscape characterized by innovation and improvement. This comprehensive analysis underscores future developments and transformative solutions across its various subspecialties: fixed, removable, implant, and maxillofacial prosthodontics. The narrative review examines the latest advancements in prosthetic technology, focusing on several critical areas. The integration of artificial intelligence and machine learning into prosthetic design and fitting processes is revolutionizing the field, serving as a common thread that links these innovative technologies across all subspecialties. This includes advancements in automated diagnostics, predictive analysis, and treatment planning. Furthermore, the review offers a forward-looking perspective on how these innovations are influencing each prosthetic dentistry domain, patient outcomes, and current clinical practices. By thoroughly analyzing contemporary research and emerging technologies, the study illustrates how these advancements represent a growing focal point of interest in developing countries, such as Romania, with the potential to redefine the trajectory of prosthetic rehabilitation and enhance patient care not only within this country but also beyond. Full article
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