Researchers at the Finnish Center for Artificial Intelligence (FACI), Tampere University Hospital, Planmeca, and the Alan Turing Institute have developed a new model that accurately and automatically shows the exact location of mandibular canals.
Researchers have developed a new model that can automatically localize the mandibular canals for dental implant operations.
In order to plan an implant operation, dentists must use X-ray and computer tomography (CT) to detect the mandibular canals manually. This process can be often laborious and time-consuming. Fortunately, there may be a solution on the horizon.
Researchers at the Finnish Center for Artificial Intelligence (FCAI), Tampere University Hospital, Planmeca, and the Alan Turing Institute have developed a new model that accurately and automatically shows the exact location of mandibular canals. The researchers trained the model by using a dataset consisting of 3D cone beam CT (CBCT) scans.
The model is based on a fully convolutional architecture, which makes it as fast and data-efficient as possible, the FCAI said in a press release. Based on research results, this type of deep learning model can localize the mandibular canals highly accurately and is said to be able to surpass statistical shape models.
In simple cases, such as when the patient does not have any special conditions, the model is just as accurate as a human specialist, according to the study.
“In more complex cases, one may need to adjust the estimate, so we are not yet talking about a fully stand-alone system,” Joel Jaskari, a doctoral candidate and the first author of the research paper, said.
“The aim of this research work is not, however, to replace radiologists but to make their job faster and more efficient so that they will have time to focus on the most complex cases,” Professor Kimmo Kaski added.
Dental manufacturing company Planmeca has collaborated with the FCAI on this study. Currently, the company is integrating the presented model into its dedicated software for use with its Planmeca 3D tomography equipment.
The results of the study were published in Nature Scientific Reports.
Poor Oral Health, Dysbiosis, and the Threat of Cancer and Other Systemic Diseases
January 19th 2024Oral dysbiosis, a condition where imbalanced oral bacteria can lead to a range of health issues is at the center of the link between poor oral health and systemic diseases, and emphasizes the crucial role of oral hygiene in promoting overall health.
Mortality and Pneumonia Rates Decline When Hospital Patients Brush Their Teeth
December 20th 2023The data from these meta-analyses highlight the value of developing systems to promote daily toothbrushing among those who have been hospitalized and, particularly, those on mechanical ventilation.