Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study.
Hyperspectral imaging enhances oral diagnostics, achieving F1-scores up to 0.915 for tissue segmentation. ππ¦·
September 12, 2025
Follow us
latest articles
Discover the newest research about AI innovations in π¦· Dentistry.
Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model.
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«
September 5, 2025
Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis.
AI in Prosthodontics: 214 Articles, 97 Journals, Key Trends ππ¦·
August 7, 2025
Machine learning in dentistry: a scoping review.
Exploring machine learning in dentistry: 280 studies reviewed, key gaps identified in model validation and bias assessment. π¦·π€
July 24, 2025
Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach.
Exploring hub genes in pulpal inflammation: AI predicts with 76.92% accuracy! π€π¦·
July 21, 2025
Assessing ChatGPT’s suitability in responding to the public’s inquires on the effects of smoking on oral health.
ChatGPT shows promise in answering smoking-related oral health queries, but lacks actionable guidance. ππ¦·
July 20, 2025
Accuracy and Time Efficiency of Artificial Intelligence-Driven Tooth Segmentation on CBCT Images: A Validation Study Using Two Implant Planning Software Programs.
AI-driven tooth segmentation on CBCT images shows 0.27 mm accuracy, improving efficiency over manual methods. ππ¦·
July 20, 2025
Dental age estimation by comparing Demirjian’s method and machine learning in Southeast Brazilian youth.
Machine learning enhances dental age estimation accuracy, reducing errors by 44% compared to traditional methods. ππ¦·
July 12, 2025
Automated quality evaluation of dental panoramic radiographs using deep learning.
Automated deep learning evaluates dental radiographs with 81.4% accuracy, enhancing diagnostic efficiency and reducing variability. π¦·π€
July 3, 2025
Patient Perspectives on AI Integration in Dentistry
Patients express cautious optimism about AI in dentistry, valuing its potential but emphasizing the need for human oversight. π€π¦·
June 24, 2025