CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning

Li, Yizhou; Cheng, Junfang; Mei, Hongxiang; Ma, Huangshui; Chen, Zhuojun; Li, Yang

doi:10.1109/embc.2019.8857799

Cited by 10 publications

(10 citation statements)

References 34 publications

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“…Three studies used AI as an aid in surgery. One study used annotated frontal facial photographs to identify surgical markers in infants with cleft lip and palate for surgical correction of the cleft lip ( 50 ). The objective was to reduce the variation in outcome due to the specialist's experience.…”

Section: Resultsmentioning

confidence: 99%

“…The procedure is carried out by highly trained specialists who may not be available in rural hospital settings. To overcome this limitation, one study trained an AI model to identify surgical markers on photographs of infants who need cleft lip repair ( 50 ). Another useful application for AI was predicting the need for orthognathic surgery at an early age ( 49 , 51 ).…”

Section: Discussionmentioning

confidence: 99%

“…Few studies used clinical data to produce predictive models that can assist clinicians directly. Studies that focused on developing AI models for predicting the occurrence of cleft lip and palate using patient history ( 26 ), detecting surgical markers ( 50 ), and predicting surgery at later stages ( 49 , 51 ) are among them. The study that used demographic data to predict clefts achieved an accuracy of 92.6%.…”

Section: Discussionmentioning

confidence: 99%

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Current Applications of Artificial Intelligence in Cleft Care: A Scoping Review

et al. 2021

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Objective: This scoping review aims to identify the various areas and current status of the application of artificial intelligence (AI) for aiding individuals with cleft lip and/or palate.Introduction: Cleft lip and/or palate contributes significantly toward the global burden on the healthcare system. Artificial intelligence is a technology that can help individuals with cleft lip and/or palate, especially those in areas with limited access to receive adequate care.Inclusion Criteria: Studies that used artificial intelligence to aid the diagnosis, treatment, or its planning in individuals with cleft lip and/or palate were included.Methodology: A search of the Pubmed, Embase, and IEEE Xplore databases was conducted using search terms artificial intelligence and cleft lip and/or palate. Gray literature was searched using Google Scholar. The study was conducted according to the PRISMA- ScR guidelines.Results: The initial search identified 458 results, which were screened based on title and abstracts. After the screening, removal of duplicates, and a full-text reading of selected articles, 26 publications were included. They explored the use of AI in cleft lip and/or palate to aid in decisions regarding diagnosis, treatment, especially speech therapy, and prediction.Conclusion: There is active interest and immense potential for the use of artificial intelligence in cleft lip and/or palate. Most studies currently focus on speech in cleft palate. Multi-center studies that include different populations, with collaboration amongst academicians and researchers, can further develop the technology.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Current Applications of Artificial Intelligence in Cleft Care: A Scoping Review

et al. 2021

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“…Neben ihrer Anwendung in Diagnostik und Prognosestellung bei Erkrankungen des Kopf-Hals-Bereichs wird KI auch im Rahmen therapeutischer Maßnahmen eingesetzt. So werden Deep-Learning-Ansätze in Studien bereits für die Operationsvorbereitung genutzt: Anhand von Fotomaterial kann beispielsweise eine KI-gestützte Planung von chirurgischen Inzisionen beim Verschluss von Lippen-Kiefer-Gaumen-Spalten durchgeführt werden, welche eine Optimierung des funktionellen und kosmetischen Ergebnisses erbringen soll [ 21 ]. Besonders vielversprechend scheint darüber hinaus der Einsatz KI-gestützter intraoperativer Bildgebungsverfahren zu sein, welche die visuelle und taktile bzw.…”

Section: Ki In Der Kopf-hals-chirurgieunclassified

Künstliche Intelligenz in der Hals-Nasen-Ohren-Heilkunde

Haider

Sharaf

Baumeister

et al. 2021

HNO

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Zusammenfassung Hintergrund Die fortschreitende Digitalisierung ermöglicht zunehmend den Einsatz von künstlicher Intelligenz (KI). Sie wird Gesellschaft und Medizin in den nächsten Jahren maßgeblich beeinflussen. Ziel der Arbeit Darstellung des gegenwärtigen Einsatzspektrums von KI in der Hals-Nasen-Ohren-Heilkunde und Skizzierung zukünftiger Entwicklungen bei der Anwendung dieser Technologie. Material und Methoden Es erfolgte die Auswertung und Diskussion wissenschaftlicher Studien und Expertenanalysen. Ergebnisse Durch die Verwendung von KI kann der Nutzen herkömmlicher diagnostischer Werkzeuge in der Hals-Nasen-Ohren-Heilkunde gesteigert werden. Zudem kann der Einsatz dieser Technologie die chirurgische Präzision in der Kopf-Hals-Chirurgie weiter erhöhen. Schlussfolgerungen KI besitzt ein großes Potenzial zur weiteren Verbesserung diagnostischer und therapeutischer Verfahren in der Hals-Nasen-Ohren-Heilkunde. Allerdings ist die Anwendung dieser Technologie auch mit Herausforderungen verbunden, beispielsweise im Bereich des Datenschutzes.

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“…Recently, with the rapid advancement of AI, technologies based on deep learning have emerged to locate cleft lip surgical annotation and incisions to facilitate surgery [6]. This may help junior surgeons in the early stages of their career and also surgeons who may not be as familiar with repairing cleft lips.…”

Section: Introductionmentioning

confidence: 99%

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip

Chen¹,

Atapour-Abarghouei²,

Kerby³

et al. 2022

Preprint

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Cleft lip is a congenital abnormality requiring surgical repair by a specialist. The surgeon must have extensive experience and theoretical knowledge to perform surgery, and Artificial Intelligence (AI) method has been proposed to guide surgeons in improving surgical outcomes. If AI can be used to predict what a repaired cleft lip would look like, surgeons could use it as an adjunct to adjust their surgical technique and improve results. To explore the feasibility of this idea while protecting patient privacy, we propose a deep learningbased image inpainting method that is capable of covering a cleft lip and generating a lip and nose without a celft. Our experiments are conducted on two real-world cleft lip datasets and are assessed by expert cleft lip surgeons to demonstrate the feasibility of the proposed method.

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CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning

Cited by 10 publications

References 34 publications

Current Applications of Artificial Intelligence in Cleft Care: A Scoping Review

Current Applications of Artificial Intelligence in Cleft Care: A Scoping Review

Künstliche Intelligenz in der Hals-Nasen-Ohren-Heilkunde

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip

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