Machine Learning and Computer Vision for Dental and Oral Surgical Applications
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 25 July 2026 | Viewed by 4
Special Issue Editors
Interests: implant; bone reconstruction; oral health; oral surgery; implant prosthetics; probiotics; oral prevention
Special Issues, Collections and Topics in MDPI journals
Interests: oral implants; bone preservation; implant success; dental prosthetics; maxillary sinus; augmentation techniques; immediate implants; implant stability; bone quality in dentistry
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
While machine learning is currently in its early stages in the field of artificial intelligence (AI), it is already being applied in medicine and dentistry. These applications enable identification of potential radiolucent lesions, automatic measurement of their dimensions on radiographs, and even formulation of reasonably accurate diagnostic hypotheses. Similarly, software tools can analyze a simple clinical photograph to estimate the size of a mucosal lesion, suggest a possible etiology, and indicate the likelihood of progression. Of course, final diagnosis and treatment planning are always the responsibility of the clinician; however, such tools are already available to practitioners. They show high potential for development in early diagnosis, prevention, surgical planning with visual goals, and genetics, and future professionals will be able to embrace these opportunities just as they have successfully integrated many innovations over the past few decades. For example, several studies published in recent years have reported that the integration of AI into dental practice not only enhances diagnostic accuracy but also accelerates preventive workflows, enabling the early detection of lesions that might otherwise go unnoticed. Nowadays, researchers are increasingly exploring how machine learning and computer vision will transform clinical practice in dentistry and oral surgery, as well as their impact on patients’ perspectives.
Dr. Saverio Cosola
Prof. Dr. Giovanni Battista Menchini Fabris
Prof. Dr. Ugo Covani
Guest Editors
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Keywords
- artificial intelligence
- neural networks
- dental implants
- metabolomic
- dental planning
- digital smile design
- digital implantology
- oral scanner
- immediate prothesis
- personalized dentistry
- personalized medicine
- multidisciplinary approach
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