Results 151 to 160 of about 35,772,840 (297)

Patient Response to Motivational Interviewing at First Periodontal Visit: A Retrospective Analysis of Associated Factors and Development of a Nomogram‐Based Prediction System (GUIDE‐MI)

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Introduction Current knowledge is insufficient to tailor the intensity of motivational interviewing (MI) to individual patients undergoing a periodontal visit. The present study was designed to evaluate the association between patient characteristics and the clinical and psychological outcomes of MI when the latter is administered at the first
Jenny Guidorzi   +7 more
wiley   +1 more source

Artificial Intelligence in the Detection of Clinically Negotiable Second Mesio‐Buccal Canals in Periapical Images of Maxillary Molars

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang   +8 more
wiley   +1 more source

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas   +9 more
wiley   +1 more source

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi   +6 more
wiley   +1 more source

Histopathologic Validity and Clinical Reliability of Wolters Classification of Pulpitis: An Exploratory Study

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Wolters' classification of pulpitis has been proposed to classify pulpitis into 4 categories (initial, mild, moderate, severe), aiming to guide clinicians to implement the relevant vital endodontic treatment. The main objective of this study was to test the histologic validity and clinical reliability of the Wolters classification ...
Çağla Fatmanur Yılmaz   +3 more
wiley   +1 more source

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