Attention capture and satisfaction of search in dental radiography: an eye-tracking study on the impact of dominant pathologies on visual search behavior among dental students. [PDF]
Ozbey F, Tokman OO, Sadik E.
europepmc +1 more source
COVID-19 and beyond: implications for dental radiography. [PDF]
Little R, Howell J, Nixon P.
europepmc +1 more source
Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry
Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley +1 more source
Abstract Background Peri‐implantitis is a destructive disease affecting the tissues surrounding dental implants. Biomaterials may be applied during surgical treatment to reconstruct bony defects and support soft tissue healing. However, current evidence is unclear if these treatments increase the likelihood of peri‐implantitis resolution.
Sukirth M. Ganesan +13 more
wiley +1 more source
A directory of licensed dentists and dental hygienists registered in Kansas. Dental hygienists were added to the directory starting with the 1935 List Issued by Kansas State Board of Dental Examiners, 1927-1943; issued by Kansas State Dental Board, 1945 ...
Kansas State Board of Dental Examiners
core
Correction: Pupil diameter differentiates expertise in dental radiography visual search. [PDF]
Castner N +8 more
europepmc +1 more source
Abstract Background This study aimed to perform a prediction model validation for furcation involvement (FI) risk in molars receiving a new fixed prosthesis (FP) using a unique cohort assessed at three time points. Methods Following the Oral Health Statistical (OHStat) reporting guidelines, this cohort study examined 181 patients (203 molars) from 2018–
Khushboo Kalani +5 more
wiley +1 more source
Simulation-Based Training in Dental Radiography: The Impact of Qbion Software on Learning Outcomes for Dentistry Students. [PDF]
Krzyżanowska M +5 more
europepmc +1 more source
Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee +9 more
wiley +1 more source
Can super resolution via deep learning improve classification accuracy in dental radiography? [PDF]
Çelik B +3 more
europepmc +1 more source

