Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs

Vranckx, Myrthel; Gerven, Adriaan Van; Willems, Holger; Vandemeulebroucke, Arne; Leite, André Ferreira; Politis, Constantinus; Jacobs, Reinhilde

doi:10.3390/ijerph17103716

Cited by 44 publications

(43 citation statements)

References 33 publications

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“…The follow-up period was mentioned in one study [ 43 ]. The various techniques of artificial intelligence was applied in the field oral and maxillofacial surgery [ 27 – 29 , 38 , 45 ], oral medicine [ 28 ], oral radiology [ 42 ], esthetic dentistry [ 17 , 44 ], restorative dentistry [ 11 – 13 , 34 , 36 , 40 ], endodontics [ 6 , 9 , 10 , 41 ], oral diagnosis [ 5 – 9 , 15 , 33 , 34 , 36 , 37 , 42 , 43 , 45 ], orthodontics and orthognathic surgery [ 16 , 35 ], forensic dentistry [ 8 ], gerodontology [ 39 ], implantology [ 43 ], periodontics [ 31 , 32 ], and prosthodontics [ 14 , 15 , 30 ].…”

Section: Resultsmentioning

confidence: 99%

“…Out of the 32 studies [ 5 – 17 , 27 – 45 ] assessed, 1 study employed blinding [ 6 ]. In 5 studies, randomizations [ 5 , 7 , 34 , 37 , 39 ] were performed. The dropout rate was mentioned in 31 studies [ 5 – 11 , 13 – 17 , 27 – 45 ].…”

Section: Resultsmentioning

confidence: 99%

“…The included studies were ranged from the year 2000 to 2020. The studies were from four categories: cohort study [5,16,27], case control [28,29], clinical trials [6-12, 17, [30][31][32][33][34][35][36][37][38][39][40][41][42][43], and experimental trials [13-15, 44, 45]. The followup period was mentioned in one study [43].…”

Section: General Characteristics Of Included Studiesmentioning

confidence: 99%

“…According to the standards described in the Cochrane Handbook for Systematic Reviews of Interventions (v5.1.0) [19], the following findings were recorded. Out of the 32 studies [5][6][7][8][9][10][11][12][13][14][15][16][17][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45] assessed, 1 study employed blinding [6]. In 5 studies, randomizations [5,7,34,37,39] were performed.…”

Section: Author and Year Reason Of Exclusionmentioning

confidence: 99%

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Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

Ahmed

Abbasi

Zuberi

et al. 2021

BioMed Research International

121

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Objective. The objective of this systematic review was to investigate the quality and outcome of studies into artificial intelligence techniques, analysis, and effect in dentistry. Materials and Methods. Using the MeSH keywords: artificial intelligence (AI), dentistry, AI in dentistry, neural networks and dentistry, machine learning, AI dental imaging, and AI treatment recommendations and dentistry. Two investigators performed an electronic search in 5 databases: PubMed/MEDLINE (National Library of Medicine), Scopus (Elsevier), ScienceDirect databases (Elsevier), Web of Science (Clarivate Analytics), and the Cochrane Collaboration (Wiley). The English language articles reporting on AI in different dental specialties were screened for eligibility. Thirty-two full-text articles were selected and systematically analyzed according to a predefined inclusion criterion. These articles were analyzed as per a specific research question, and the relevant data based on article general characteristics, study and control groups, assessment methods, outcomes, and quality assessment were extracted. Results. The initial search identified 175 articles related to AI in dentistry based on the title and abstracts. The full text of 38 articles was assessed for eligibility to exclude studies not fulfilling the inclusion criteria. Six articles not related to AI in dentistry were excluded. Thirty-two articles were included in the systematic review. It was revealed that AI provides accurate patient management, dental diagnosis, prediction, and decision making. Artificial intelligence appeared as a reliable modality to enhance future implications in the various fields of dentistry, i.e., diagnostic dentistry, patient management, head and neck cancer, restorative dentistry, prosthetic dental sciences, orthodontics, radiology, and periodontics. Conclusion. The included studies describe that AI is a reliable tool to make dental care smooth, better, time-saving, and economical for practitioners. AI benefits them in fulfilling patient demand and expectations. The dentists can use AI to ensure quality treatment, better oral health care outcome, and achieve precision. AI can help to predict failures in clinical scenarios and depict reliable solutions. However, AI is increasing the scope of state-of-the-art models in dentistry but is still under development. Further studies are required to assess the clinical performance of AI techniques in dentistry.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: General Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Author and Year Reason Of Exclusionmentioning

confidence: 99%

See 2 more Smart Citations

Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

Ahmed

Abbasi

Zuberi

et al. 2021

BioMed Research International

121

View full text Add to dashboard Cite

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“…Ortodoncia. A nivel de la ortodoncia se aprecia la utilización de la IA en el impacto del tratamiento de ortodoncia evaluando el atractivo facial y apariencia de edad con el uso de fotografías y redes convolucionales 35 ; en la predicción de ubicación y angulaciones de terceras molares en radiografías panorámicas con red neuronal convolucional con Resnet-101 36 ; variaciones de la estructura maxilar por la impactación de caninos en tomografías con algoritmo de aprendizaje LINKS 37 . Evaluación y desarrollo a través de análisis panorámico y cefalométrico de vértebras cervicales comparando sistemas como Naive Bayes (NB), random forest (RF), artificial neural networks (ANN), support vector machine (SVM), decision tree (DT) y logistic regression (LR) 38 .…”

Section: Revisión Y Discusiónunclassified

Aplicación de la inteligencia artificial en Odontología

Cacñahuaray-Martínez

Gómez-Meza

Lamas-Lara

et al. 2021

Odontol Sanmarquina

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En este artículo se revisó sobre inteligencia artificial (IA) y su aplicación en el campo odontológico. El objetivo fue revisar la evidencia sobre inteligencia artificial y su aplicación en las diferentes especialidades odontológicas. Se realizó una búsqueda en las bases de datos de Medline/PubMed, Scopus y Web of Science desde el año 2017 al 2021. Se encontraron 321 artículos, de los cuales se seleccionaron 62, que mostraron la aplicación de la IA en seis especialidades: periodoncia, implantología, odontología forense, medicina y patología oral, ortodoncia y diagnóstico/cariología/endodoncia. Se encontró que la especialidad con más artículos sobre el tópico de IA fue la de diagnóstico/cariología/endodoncia y el tipo de inteligencia artificial que más se utilizó fue el de red neural convolucional. Se concluyó que la IA se está utilizando ampliamente en odontología demostrando resultados prometedores ya que muestran una precisión equivalente a la de diferentes especialistas capacitados y en algunos casos superan los errores humanos demostrando excelentes resultados.

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Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review

Chen,

Dhawan,

Liu

et al. 2024

Clinical & Exp Dental Res

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ObjectivesArtificial intelligence (AI) is an emerging field in dentistry. AI is gradually being integrated into dentistry to improve clinical dental practice. The aims of this scoping review were to investigate the application of AI in image analysis for decision‐making in clinical dentistry and identify trends and research gaps in the current literature.Material and MethodsThis review followed the guidelines provided by the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses Extension for Scoping Reviews (PRISMA‐ScR). An electronic literature search was performed through PubMed and Scopus. After removing duplicates, a preliminary screening based on titles and abstracts was performed. A full‐text review and analysis were performed according to predefined inclusion criteria, and data were extracted from eligible articles.ResultsOf the 1334 articles returned, 276 met the inclusion criteria (consisting of 601,122 images in total) and were included in the qualitative synthesis. Most of the included studies utilized convolutional neural networks (CNNs) on dental radiographs such as orthopantomograms (OPGs) and intraoral radiographs (bitewings and periapicals). AI was applied across all fields of dentistry ‐ particularly oral medicine, oral surgery, and orthodontics ‐ for direct clinical inference and segmentation. AI‐based image analysis was use in several components of the clinical decision‐making process, including diagnosis, detection or classification, prediction, and management.ConclusionsA variety of machine learning and deep learning techniques are being used for dental image analysis to assist clinicians in making accurate diagnoses and choosing appropriate interventions in a timely manner.

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Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs

Cited by 44 publications

References 33 publications

Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

Aplicación de la inteligencia artificial en Odontología

Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review

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