Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods

Critical Analysis of Artificial Intelligence in Endodontics: A Scoping Review

(2021) Fahad Umer et al.   JOURNAL OF ENDODONTICS

G.V Black dental caries classification and preparation technique using optimal CNN-LSTM classifier

(2020) Prerna Singh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique

(2019) Yoshiko Ariji et al.   Oral Surgery Oral Medicine Oral Pathology Oral Radiology

The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

(2019) Kuofeng Hung et al.   DENTOMAXILLOFACIAL RADIOLOGY

Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography

(2019) Motoki Fukuda et al.   Oral Radiology

Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods

(2018) Guy S. Handelman et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Detection of Fractured Endodontic Instruments in Root Canals: Comparison between Different Digital Radiography Systems and Cone-beam Computed Tomography

(2017) Ana Caroline Ramos Brito et al.   JOURNAL OF ENDODONTICS

Radiographic Identification of Separated Instruments Retained in the Apical Third of Root Canal–filled Teeth

(2014) Eyal Rosen et al.   JOURNAL OF ENDODONTICS

A new approach for locating the minor apical foramen using an artificial neural network

(2011) M. A. Saghiri et al.   INTERNATIONAL ENDODONTIC JOURNAL

Modern dental imaging: a review of the current technology and clinical applications in dental practice

(2010) Bart Vandenberghe et al.   EUROPEAN RADIOLOGY

Impact of a Retained Instrument on Treatment Outcome: A Systematic Review and Meta-analysis

(2010) Piyanee Panitvisai et al.   JOURNAL OF ENDODONTICS