Results 141 to 150 of about 1,713,973 (247)

Validation of a commercial intraoral auto-segmentation algorithm against expert-annotated clinical data with comparison to a transparent algorithm. [PDF]

Front Oral Health
Adabdokht R, Lagravere Vich M, Imaromkul T, Tosakparalerd K, de Miranda Ladewig V, Cai W, Ji C, Lai H.   +7 more
europepmc   +1 more source

Dental Pulp Stem Cell‐Derived Intracellular Vesicles Inhibit OSCC by Delivering PTEN to Suppress PI3K/AKT/mTOR Signalling Pathway

Cell Proliferation, EarlyView.
DPSC‐IVs suppressed PI3K/AKT/mTOR signalling pathway by delivering PTEN to tumour cells, which reduced the expression of Bcl‐2 and elevated that of Bax. Meanwhile, DPSC‐IVs activated PINK1/Parkin mediated mitophagy, which further raised ROS levels.
Yu Luo, Qiang Qin, Wenting She, Xiangying Wang, Xiqin Li, Chenxuan Shu, Ruohan Li, Ziwei Li, Dongjie Fu, Yan He, Qingsong Ye   +10 more
wiley   +1 more source

Artificial Intelligence in Periodontology: From Automated Diagnosis to Prediction and Clinical Decision Support-A Narrative Review. [PDF]

Dent J (Basel)
Herz MM, Bartha V.
europepmc   +1 more source

Prognostic Prediction of Avulsed Permanent Teeth Using Conversational AI Models Versus Expert Dentists: Influence of Prompt Structure and Temporal Stability

Dental Traumatology, EarlyView.
ABSTRACT Aim Prognosis prediction after tooth avulsion is challenging due to multiple interacting clinical factors. The agreement of conversational large language models with expert dentists, their sensitivity to prompt format, and the stability of their outputs over time remain unclear.
Mehmet Buldur, Gizem Ayan, Tugba Misilli
wiley   +1 more source

3D Evaluation of material-dependent volumetric and interfacial changes in CAD/CAM partial crowns: a semi-automated micro-CT approach. [PDF]

Front Dent Med
Schulz-Kornas E, Giesa O, Meißner T, Oberück N, Lösel PD, Handschuh S, Ziebolz D, Haak R.   +7 more
europepmc   +1 more source

Does Sequential Use of Multiple Chatbots Influence Emergency Guidance for Dental Avulsion?

Dental Traumatology, EarlyView.
ABSTRACT Background/Aim Artificial intelligence–based chatbot systems are increasingly used for dental emergency guidance, yet the clinical value of sequential consultation remains unclear. This study investigated whether response order influences the quality of chatbot‐generated answers to permanent tooth avulsion questions. Material and Methods Eight
Mehmet Buldur, Berkant Sezer
wiley   +1 more source

New Frontiers in Dental Traumatology: Innovation, Prevention, and Clinical Practice. [PDF]

Dent Traumatol
Cantao AB, Levin L.
europepmc   +1 more source

Adhesion of Newly Developed Composite Resin Splinting Materials to Enamel: Effect of Enamel Surface Treatment

Dental Traumatology, EarlyView.
ABSTRACT Background/Aim To evaluate the shear bond strength (SBS) of newly developed composite resin materials intended for dental splinting to enamel and to determine whether phosphoric acid etching alone provides reliable adhesion. Material and Methods Four experimental materials (G‐Fix, Light Fix, Ortho Connect, and Ortho Connect Flow) were compared
Wonkyu Shin, Ji‐Soo Song, Hyuntae Kim, Wonjoon Moon, Teo Jeon Shin, Shin Hye Chung, Jin‐Soo Ahn, Hong‐Keun Hyun   +7 more
wiley   +1 more source

Artificial Intelligence in Oral and Maxillofacial Surgery-A Narrative Review. [PDF]

J Clin Med
Zawadka-Modras D, Rożko J, Chloupek A, Jurkiewicz D.   +3 more
europepmc   +1 more source

The Validity of ICD‐10 Codes in Recording the Incidence of Traumatic Dental Injuries

Dental Traumatology, EarlyView.
ABSTRACT Background/Aim Traumatic dental injuries (TDIs) significantly affect quality of life and healthcare costs. Large administrative datasets using ICD codes offer opportunities for epidemiological research; however, the accuracy of International Classification of Diseases, Tenth Revision (ICD‐10) codes for TDIs remains unclear. This study aimed to
Ehsan N. Azadani, Jodee McDaniel, Jin Peng, Janice A. Townsend   +3 more
wiley   +1 more source