Artificial Intelligence in Dentistry

Artificial intelligence (AI) is the branch of computer science dedicated to building systems to perform tasks that normally require human intelligence. AI tries to solve problems and learn similar to humans. The field of AI has experienced phenomenal development and growth over the past two decades; with the latest developments in digitized data collection, machine learning, and computing infrastructure, AI applications are expanding rapidly, especially in areas that are thought to be reserved for experts in their fields. Artificial intelligence has started to take place rapidly in dental clinical applications. The use of artificial intelligence in dentistry has enormous potential to improve patient care and drive major advances in healthcare. AI in dentistry is being researched for various purposes, such as identifying anatomical and pathological structures, diagnosing diseases and predicting treatment results, and selecting materials to be used. Advances in AI offer healthcare benefits, such as reducing postoperative complications, improving quality of life, and reducing the number of unnecessary procedures. It can also play a great helping role for dentists in increasing the accuracy of diagnosis. This chapter aims to explain the current applications and future predictions of artificial intelligence in dentistry, which is one of the most current topics of recent times

Evaluation of Threshold Values for Root Canal Filling Voids in Micro-CT and Nano-CT Images

While several materials and techniques have been used to assess the quality of root canal fillings in micro-CT images, the lack of standardization in scanning protocols has produced conflicting results. Hence, the aim of this study was to determine a cutoff voxel size value for the assessment of root canal filling voids in micro-CT and nano-CT images. Twenty freshly extracted mandibular central incisors were used. Root canals were prepared with nickel titanium files to an ISO size 40/0.06 taper and then filled with a single cone (40/0.06 taper) and AH Plus sealer. The teeth were scanned with different voxel sizes with either micro-CT (5.2, 8.1, 11.2, and 16.73 μm) or nano-CT (1.5 and 5.0 μm) equipment. Images were reconstructed and analyzed with the NRecon and CTAn software. Void proportion and void volume were calculated for each tooth in the apical, middle, and coronal thirds of the root canal. Kruskal-Wallis and post hoc Mann–Whitney U tests were performed with a significance level of 5%. In micro-CT images, significantly different results were detected among the tested voxel sizes for void proportion and void volume, whereas no such differences were found in nano-CT images (p>0.05). Micro-CT images showed higher void numbers over the entire root length, with statistically significant differences between the voxel size of 16.73 μm and the other sizes (p<0.05). The values of the different nano-CT voxel sizes did not significantly differ from those of the micro-CT (5.2, 8.1, and 11.2 μm), except for the voxel size of 16.73 μm (p<0.05). All tested voxel sizes enabled the detection of root canal filling voids except for the voxel size of 16.73 μm. Bearing in mind the limitations of this study, it seems that a voxel size of 11.2 μm can be used as a reliable cutoff value for the assessment of root canal filling voids in micro-CT imaging.Publisher's Versio

Effect of Traditional and Conservative Endodontic Access Cavities on Instrumentation Efficacy of Two Different Ni–Ti Systems: A Micro-CT Study

This study aims to compare the shaping efficiency of the nickel–titanium instrument systems, One Reci and ProTaper Ultimate, using micro-CT (micro-computed tomography) in traditional and conservative endodontic access cavities. The experimental groups were formed according to the type of access cavity and Ni–Ti file system to be used. Sixty mandibular molar teeth were randomly divided into two main groups, the conservative access cavity (CAC) group and the traditional access cavity (TAC) group, and randomly divided into two subgroups according to the file system. The groups were compared with a two-way ANOVA analysis in terms of volume change, surface area, non-instrumented area transportation, and thickness of the dentin in the danger zone area after root canal preparation. The groups showed no statistically significant differences in terms of volume change, surface area, or the thickness of the dentin in the danger zone area after root canal preparation (p > 0.05). However, in the percentage of non-instrumented areas post-instrumentation between groups, the percentage of non-instrumented areas was statistically higher in specimens with CAC compared to TAC (p p < 0.05). Within the limitations of this study, CAC can also be used with some precautions as an alternative to TAC

Nuclear targeting peptide-modified, DOX-loaded, PHBV nanoparticles enhance drug efficacy by targeting to Saos-2 cell nuclear membranes

WOS: 000424943700004PubMed ID: 29297759The aim of this study was to target nano sized (266 +/- 25nm diameter) poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) particles carrying Doxorubicin (DOX), an anticancer agent, to human osteosarcoma cells (Saos-2). A nuclear targeting molecule (Nuclear Localization Signal, NLS), a 17 a.a. peptide, was attached onto the doxorubicin loaded nanoparticles. NLS conjugated nanoparticles surrounded the cell nuclei, but did not penetrate them. Free doxorubicinand doxorubicin loadednanoparticles entered the cytoplasm and were evenly distributed within the cytoplasm. The localization of the NLS-targetedparticles around the nuclear membrane caused a significantly higher decrease in the cancer cell numbers due to apoptosis or necrosis than the untargeted and free doxorubicin formulations showing the importance of targeting the nanoparticles to the nuclear membrane in the treatment of cancer.Middle East Technical University Center of Excellence in Biomaterials and Tissue Engineering (BIOMATEN)This work was financially supported by Middle East Technical University Center of Excellence in Biomaterials and Tissue Engineering (BIOMATEN)

Advanced cell therapies with and without scaffolds

Tissue engineering and regenerative medicine aim to produce tissue substitutes to restore lost functions of tissues and organs. This includes cell therapies, induction of tissue/organ regeneration by biologically active molecules, or transplantation of in vitro grown tissues. This review article discusses advanced cell therapies that make use of scaffolds and scaffold-free approaches. The first part of this article covers the basic characteristics of scaffolds, including characteristics of scaffold material, fabrication and surface functionalization, and their applications in the construction of hard (bone and cartilage) and soft (nerve, skin, blood vessel, heart muscle) tissue substitutes. In addition, cell sources as well as bioreactive agents, such as growth factors, that guide cell functions are presented. The second part in turn, examines scaffold-free applications, with a focus on the recently discovered cell sheet engineering. This article serves as a good reference for all applications of advanced cell therapies and as well as advantages and limitations of scaffold-based and scaffold-free strategies

Construction and in vitro testing of a multilayered, tissue-engineered meniscus

A novel three-dimensional construct was designed to serve as a substitute for the natural meniscus tissue, and tested in vitro. The design consisted of mats of aligned collagen micro/nanofibers, entrapped within a macroporous poly(l-lactic acid)/poly(lactic acid-co-glycolic acid) foam coated with Ca+2-cross-linked alginic acid. Fibrochondrocytes derived from human meniscus were tested in vitro to study cell attachment and proliferation. After a 21-day culture, the cells populating the constructs were shown to produce extracellular matrix components specific for fibrocartilages, such as collagen Types I and II and aggrecan. Coating the foam with alginate increased the compressive modulus of the collagen-containing constructs (from 320 to 381 kPa, after 21 days of incubation with fibrochondrocytes) but decreased cell attachment and proliferation, as well as aggrecan production. Collagen fibers substantially increased the tensile modulus of the cell-seeded constructs (from 0.98 to 1.71 MPa for uncoated and from 0.67 to 1.32 MPa for coated samples). All constructs produced extracellular matrix components specific for fibrocartilages. These findings indicate that these constructs have potential for use as meniscus substitutes

A two-compartment bone tumor model to investigate interactions between healthy and tumor cells

We produced a novel three-dimensional (3D) bone tumor model (BTM) to study the interactions between healthy and tumor cells in a tumor microenvironment, the migration tendency of the tumor cells, and the efficacy of an anticancer drug, Doxorubicin, on the cancer cells. The model consisted of two compartments: (a) a healthy bone tissue mimic, made of poly(lactic acid-co-glycolic acid) (PLGA)/beta-tricalcium phosphate (beta-TCP) sponge seeded with human fetal osteoblastic cells (hFOB) and human umbilical vein endothelial cells (HUVECs), and (b) a tumor mimic, made of lyophilized collagen sponge seeded with human osteosarcoma cells (Saos-2). The tumor mimic component was placed into a central cavity created in the healthy bone mimic and together they constituted the complete 3D bone tumor model (3D-BTM). The porosities of both sponges were higher than 85% and the diameters of the pores were 199 52 mu m for the PLGA/TCP and 50-150 mu m for the collagen scaffolds. The compression Young's modulus of the PLGA/TCP and the collagen sponges were determined to be 4.76 MPa and 140 kPa, respectively. Cell proliferation, morphology, calcium phosphate forming capacity and alkaline phosphatase production were studied separately on both the healthy and tumor mimics. All cells demonstrated cellular extensions and spread well in porous scaffolds indicating good cell-material interactions. Confocal microscopy analysis showed direct contact between the cells present in different parts of the 3D-BTM. Migration of HUVECs from the healthy bone mimic to the tumor compartment was confirmed by the increase in the levels of angiogenic factors vascular endothelial growth factor, basic fibroblast growth factor, and interleukin 8 in the tumor component. Doxorubicin (2.7 mu g.ml(-1)) administered to the 3D-BTM caused a seven-fold decrease in the cell number after 24 h of interaction with the anticancer drug. Caspase-3 enzyme activity assay results demonstrated apoptosis of the osteosarcoma cells. This novel 3D-BTM has a high potential for use in studying the metastatic capabilities of cancer cells, and in determining the effective drug types and combinations for personalized treatments