Results 241 to 250 of about 3,055,284 (295)

Motivational Interviewing for Primary Health Care Oral Health Teams: Results After 10 Years of Training

European Journal of Dental Education, EarlyView.
ABSTRACT Objective To evaluate the maintenance of basic Motivational Interviewing (MI) skills acquired by professionals from oral health teams of a Primary Health Care service 10 years after the initial training. Methods This study consists of the follow‐up of a prospective cohort (Cárie Zero Cohort).
Mariana Loch dos Reis, Daniel Demétrio Faustino‐Silva, Elisabeth Meyer, Juliana Balbinot Hilgert   +3 more
wiley   +1 more source

Rethinking Diagnostic Performance Metrics in Imaging Artificial Intelligence: Lessons from Caries Detection on Radiographs.

Caries Res
Ganss C, Vach K.
europepmc   +1 more source

Evaluating the Accuracy of Large Language Models in Dentistry: A Multi‐Model Study Using Clinical Questions From Turkey's Dental Specialty Exams

European Journal of Dental Education, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has become an integral part of dental education and clinical practice. While several studies have assessed the performance of ChatGPT in medical exams, comparative analyses of various large language models (LLMs) in dentistry remain scarce.
Nihan Kaya Acar, Fatih Sengul, Peris Celikel, Aziz Sahin Erdogan   +3 more
wiley   +1 more source

Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review.

Caries Res
Sezen-Hulsmans D, Pereira-Cenci T, Sonneveld RE, Loomans BAC, Cenci MS.   +4 more
europepmc   +1 more source

Evaluation of Deep Learning for Caries Detection With Fine-Grained Classification and Postprocessing Improvements. [PDF]

Int Dent J
Yang L, Chen GY.
europepmc   +1 more source

Attitudes of Dental Students Towards HIV+ Patients: A Multi‐Center Survey Among Italian Universities

European Journal of Dental Education, EarlyView.
ABSTRACT Aims To evaluate the attitudes of Italian dental students towards HIV‐infected patients and explore factors influencing discriminatory behaviour. Methods This observational, multicentric survey analysed responses from dental students across Italian Dental Schools.
Michele Giuliani, Cosimo Rupe, Silvio Abati, Paolo Arduino, Lorenzo Azzi, Elena Bardellini, Giulia Bardini, Lavinia Barone, Selene Barone, Maria Eleonora Bizzoca, Giuseppina Campisi, Claudia Caravetta, Raffaella Castagnola, Marco Cicciù, Maria Contaldo, Francesca Conti, Noemi Coppola, Massimo Cordaro, Elisabetta Cotti, Roberto Di Lenarda, Davide Farronato, Gianfranco Favia, Olga Anna Furchì, Andrea Gabusi, Alessio Gambino, Marco Gargari, Ilaria Giovannacci, Davide Gissi, Amerigo Giudice, Luigi Laino, Gaetano La Mantia, Luisa Limongelli, Lorenzo Lo Muzio, Alessandra Majorana, Mirko Martelli, Marco Mascitti, Michele Davide Mignogna, Pietro Montagna, Pier Francesco Nocini, Romeo Patini, Matteo Pellegrini, Monica Pentenero, Antonio Rapani, Silvana Rizzo, Umberto Romeo, Vincenzo Ronsivalle, Diana Russo, Andrea Santarelli, Francesco Scilla, Rosario Serpico, Francesco Spadari, Gianluca Tenore, Ludovica Vassalli, Paolo Vescovi, Gioele Gioco, Carlo Lajolo   +55 more
wiley   +1 more source

CNN-based remote dental diagnosis model for caries detection with grad-CAM. [PDF]

Sci Rep
Kim D, Kim J, Choi SG.
europepmc   +1 more source

A novel Pulp Caries GAN multi loss GAN with new pulp inspired metaheuristics for pediatric dental caries detection and segmentation. [PDF]

Sci Rep
Elkhatib AA, Elbaz M, Soliman RS, Hafez ME.   +3 more
europepmc   +1 more source

Charting New Territory: AI Applications in Dental Caries Detection from Panoramic Imaging. [PDF]

Dent J (Basel)
Hung M, Yevseyevich D, Khazana M, Schwartz C, Lipsky MS.   +4 more
europepmc   +1 more source

Patient acceptance, time efficiency, and inter-operator agreement in intra-oral scanning with fluorescence technology for caries detection. [PDF]

BMC Oral Health
Agius AM, No Cortes J, Cortes ARG, Attard NJ, Gatt G.   +4 more
europepmc   +1 more source