Development trend of Artificial Intelligence (AI) in dentistry: exploring FDA-cleared dental devices.
AI in Dentistry: 52 FDA-Cleared Devices Reviewed π¦·π 2022 saw 15.38% approvals; 60% lack algorithm transparency.
November 30, 2025
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Discover the newest research about AI innovations in π¦· Dentistry.
Chain-of-Thought reasoning versus linguistic optimization for artificial intelligence models on the prosthodontics section of a dental licensing examination.
AI models in dental exams: CoT reasoning outperforms others, achieving 80.54% accuracy vs. human average 79.51%. ππ¦·
November 11, 2025
[Research on the construction and application of an intelligent internet of things-enabled dental chair platform based on dental chair domain interconnection].
Innovative IoT dental chair platform boosts patient visits by 38%, reduces treatment time by 24.6%, and enhances satisfaction to 94.3%! π¦·π
November 4, 2025
Artificial Intelligence for Laser-Assisted Oral Surgery: A Narrative Review of Current Trends and Future Perspectives.
AI in Laser-Assisted Oral Surgery: Precision, Efficiency, and Challenges Ahead π€π
November 2, 2025
[Applications and perspectives of artificial intelligence in periodontology].
AI in Periodontology: Enhancing Diagnosis & Treatment with 95% Sensitivity ππ€
October 29, 2025
Shaping the Clinician II: Artificial Intelligence-Taught Endodontic Skills.
AI in Endodontics: Enhancing Skills with Machine Learning & VR ππ¦·
October 20, 2025
Utility of Same-Modality, Cross-Domain Transfer Learning for Malignant Bone Tumor Detection on Radiographs: A Multi-Faceted Performance Comparison with a Scratch-Trained Model.
AI in Malignant Bone Tumor Detection: Transfer Learning vs. Scratch Training ππ€
October 17, 2025
Predicting Negative Self-Rated Oral Health in Adults Using Machine Learning: A Longitudinal Study in Southern Brazil.
Machine learning predicts negative self-rated oral health in adults with 16.6% prevalence. Key predictors include socioeconomic status and anxiety. ππ¦·
October 12, 2025
Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models.
Automated detection of third molar and nerve relations shows 97% accuracy using UNet. DenseNet121 achieves 84% accuracy. π¦·π
October 5, 2025
Enhanced diagnostic pipeline for maxillary sinus-maxillary molars relationships: a novel implementation of Detectron2 with faster R-CNN R50 FPN 3x on CBCT images.
AI enhances maxillary sinus-molar diagnostics with 89% accuracy, improving surgical planning and patient safety. π¦·π€
September 29, 2025