Machine learning-driven discovery of therapeutic nucleoside hydrogels for periodontitis.
Machine learning identifies nucleoside hydrogels for periodontitis treatment, enhancing drug delivery and tissue engineering. ðĶ·ð§
May 12, 2026
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Discover the newest research about AI innovations in ðĶ· Dentistry.
Evaluating the clinical safety of large language models in oral cancer-related patient communication: a repeated-prompt observational study.
Evaluating AI in oral cancer communication: Gemini and Grok show 90%+ referral safety but variable risks. ððĶ·
May 6, 2026
PortmanDentex Partners with Heidi to Implement AI Solutions in Dentistry
PortmanDentex collaborates with Heidi to introduce AI solutions in dentistry, enhancing clinical efficiency and patient care. ðĶ·ðĪ
April 13, 2026
AI-Powered Clinical Decision Support in Dentistry: Comparative Evaluation of Large Language Models for Oral Medicine and Periodontal Diagnosis.
AI in Dentistry: ChatGPT Outperforms Copilot & Gemini in Oral Diagnosis! ððĶ· 4.846 vs. 4.433 & 4.234 scores!
April 2, 2026
Unified Dental Electronic Referral Service to Launch in South West England
Unified dental electronic referral service launching in South West England. ðĶ· Improved patient care and streamlined processes ahead. ð
March 21, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ððĶī
March 21, 2026
Estimating the Individualized Effect of Tooth Extraction before Radiotherapy on Osteoradionecrosis Using Causal Machine Learning.
Tooth extraction before radiotherapy may harm some patients while benefiting others. Study reveals significant treatment effect variability. ðĶ·ð
March 14, 2026
Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.
AI in Oral Cancer Detection: CNNs show 94% sensitivity & specificity! ð High diagnostic potential, but more studies needed. ðĶ·
February 4, 2026
Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.
Machine learning predicts mortality in pediatric aplastic anemia with 83.4% AUC. Key predictors include reticulocyte count and platelet count. ððķ
February 2, 2026
Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.
Exploring AI’s role in radiology: synergy, risks, and responsible integration. ðĪð Key insights from Kocak & Cuocolo’s review.
January 27, 2026