Results 211 to 220 of about 83,993 (356)

The Complex World of Toothpaste Diversity, Meeting Patient Clinical Needs. An Umbrella Review

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Background Amidst numerous recent advancements in toothpaste formulations and active ingredients, some clinicians may believe all toothpastes are similar despite differences in their active ingredients and corresponding clinical application.
Jeanie Suvan, Crystal Marruganti
wiley   +1 more source

Clinical Performance of Bioglass‐Enriched Resin Modified Glass Ionomer in Sealing Moderate Carious Lesions: An 18‐Month Split‐Mouth Clinical Trial

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Dental materials with the potential for caries progression prevention have been an attractive alternative to minimally invasive treatments. Objectives This randomized controlled split‐mouth clinical trial aimed to assess, after 18 months, the retention, restoration quality, and caries progression or arrestment of active moderate carious ...
Juliana Aguiar Costa Mesquita   +4 more
wiley   +1 more source

Two-Year Outcomes of Regenerative Therapy in an Immature Maxillary Molar With Periapical Abscess: A Case Report. [PDF]

open access: yesCase Rep Dent
Siqueira LFR   +8 more
europepmc   +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

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