Precision excision of mandibular anterior compound odontoma using autonomous robotic guidance: a clinical case report

BackgroundManagement of compound odontomas in the pediatric anterior mandible poses significant surgical challenges due to proximity to developing tooth follicles and neurovascular structures. Conventional enucleation risks iatrogenic injury to adjacent dentoalveolar anatomy, while suboptimal bone preservation may impede permanent tooth eruption.Case descriptionAn 8-year-old patient presented with a compound odontoma adjacent to the unerupted permanent mandibular incisor. Utilizing an autonomous robotic guidance system independently developed by our research group, we performed minimally invasive enucleation featuring: (1) virtual osteotomy pathway planning, (2) sub-millimeter precision bone removal preserving the follicular space of tooth 31, and (3) capsule dissection under optical navigation. At the 2-week follow-up, the surgical site demonstrated complete mucosal healing without neurosensory complications, and CBCT confirmed absence of residual pathology.ConclusionRobotic-assisted enucleation enabled tissue-preserving removal of a high-risk odontoma while maintaining eruption potential. This approach represents a paradigm shift toward precision-targeted dentoalveoral surgery, particularly valuable for anatomically complex pediatric cases.Clinical Trial Registrationidentifier [ChiCTR2400092822]

Channel Mismatch Speaker Verification Based on Deep Learning and PLDA

Abstract At present, speaker recognition technology is developing continuously, but in real world, existing speaker recognition algorithms are generally disturbed by channel factors. With the increase of current data volume, neural network has also become a key technology for speaker recognition. This paper introduction a speaker recognition method based on supervised training and a channel compensation algorithm. The experimental results show that this method combined with channel compensation algorithm can remove the influence of channel noise and has a good speaker recognition effect. The experimental results show that the combination of x-vector and PLDA channel compensation algorithm can obtain better recognition rate and ensure the robustness of the algorithm.</jats:p

Speaker Identification Based On Ivector And Xvector

Abstract As an important branch of AI (Artificial Intelligence), speaker recogniti-on technology has developed rapidly in recent years. At present, speaker recognition technologies based on traditional methods and deep learning methods are very mature and have achieved good results. As a key technology in human-machine voice intera-ction, speaker recognition has changed human life in many ways. However, there is almost no research on speaker recognition in Tibetan. This paper uses Gaussian mix-ture model and deep neural network TDNN as the theoretical basis. On the Tibetan language corpus, the speaker identification on the ivector of GMM-UBM and the speaker identification on the xvector of TDNN are performed respectively, and the experimental results are compared. The experimental system is divided into prepro-cessing, feature extraction, model training and decision.</jats:p

Overview of the development of speaker recognition

Abstract Speaker recognition is a technology that recognizes a person’s identity through a person’s voice. Speaker recognition is one of the important research topics in the field of biometrics. This article first introduces the background and research significance of speaker recognition; secondly, it briefly introduces speaker recognition technology; again introduces the method research used in speaker recognition; and finally analyzes the research difficulties and challenges of speaker recognition.</jats:p

Multidisciplinary treatment approach for complex crown-root fractures in child with periodontal health as the guiding principle: a case report with 8-year follow-up

Abstract Background Pediatric anterior teeth complex crown-root fractures has high incidence and pose greater treatment challenges. Dynamic tooth development increases risks for orthodontic, periodontal, and restorative treatments. Case description The authors present a case of a 12-year-old boy with a complex crown-root fracture in the right maxillary central incisor. Initial treatment involved following IADT guidelines and extracting the fractured crown for orthodontic and restorative care. Collaboration among periodontists, orthodontists, and restorative dentists facilitated orthodontic traction and resin restoration, along with subgingival restoration surface treatment, improving periodontal health. Over 8 years, stable tooth and periodontal health with satisfactory aesthetics were observed, without inflammation or pain. Conclusion Follow-up of 8 years showed favorable prognosis for the affected tooth, highlighting the essential role of periodontists and consideration of periodontal health in managing complex crown-root fractures in children

ECM remodeling by PDGFRβ+ dental pulp stem cells drives angiogenesis and pulp regeneration via integrin signaling

Abstract Background This study investigates the role of PDGFRβ+ dental pulp stem cells (DPSCs) in dental pulp vascular development by remodeling the extracellular matrix (ECM), with implications for angiogenesis and pulp regeneration using GelMA hydrogels. Methods PDGFRβ+ DPSCs were assessed for ECM remodeling and angiogenesis via secretion of ECM proteins (FN, LAMA4, COL1A2). Immunofluorescence and gene expression analyses were performed to evaluate ECM composition and related signaling pathways. GelMA hydrogels loaded with PDGFRβ+ DPSCs were tested for angiogenic support in vitro (HUVEC tube formation) and in vivo (subcutaneous implantation in mice for 6 weeks). Results PDGFRβ+ DPSCs enhanced ECM deposition and modulated angiogenic signaling, promoting vascular development. Encapsulation in GelMA hydrogels supported HUVEC tube formation and facilitated organized pulp-like tissue with increased ECM and angiogenesis in vivo. Integrin pathway inhibition diminished these effects, highlighting the importance of ECM-integrin signaling in angiogenesis. Conclusion PDGFRβ+ DPSCs regulate dental pulp vascular development through ECM remodeling. Their encapsulation in GelMA hydrogels provides a promising strategy for pulp regeneration by establishing an ECM-mediated angiogenic environment, offering potential for clinical pulp-dentin complex repair. Graphical abstrac