{"version":"6.9","hitCount":2,"request":{"queryString":"\"machine learning framework for automated diagnosis and computer-assisted planning\"","resultType":"core","cursorMark":"*","pageSize":5,"sort":"","synonym":false},"resultList":{"result":[{"id":"37612673","source":"MED","pmid":"37612673","pmcid":"PMC10463886","fullTextIdList":{"fullTextId":["PMC10463886"]},"doi":"10.1186/s13005-023-00383-0","title":"Artificial intelligence in orthodontics and orthognathic surgery: a bibliometric analysis of the 100 most-cited articles.","authorString":"Wong KF, Lam XY, Jiang Y, Yeung AWK, Lin Y.","authorList":{"author":[{"fullName":"Wong KF","lastName":"Wong","firstName":"Ka Fai","initials":"KF","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, the University of Hong Kong, Prince Philip Dental Hospital, No.34 Hospital Road, Hong Kong SAR, China."}]}},{"fullName":"Lam XY","lastName":"Lam","firstName":"Xiang Yao","initials":"XY","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, the University of Hong Kong, Prince Philip Dental Hospital, No.34 Hospital Road, Hong Kong SAR, China."}]}},{"fullName":"Jiang Y","lastName":"Jiang","firstName":"Yuhao","initials":"Y","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Restorative Dentistry, Faculty of Dentistry, the National University of Malaysia, Kuala Lumpur, Malaysia."}]}},{"fullName":"Yeung AWK","lastName":"Yeung","firstName":"Andy Wai Kan","initials":"AWK","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Division of Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, the University of Hong Kong, Hong Kong SAR, China."}]}},{"fullName":"Lin Y","lastName":"Lin","firstName":"Yifan","initials":"Y","authorId":{"type":"ORCID","value":"0000-0002-2614-9159"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, the University of Hong Kong, Prince Philip Dental Hospital, No.34 Hospital Road, Hong Kong SAR, China. yflin@hku.hk."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0002-2614-9159"}]},"dataLinksTagsList":{"dataLinkstag":["supporting_data"]},"journalInfo":{"issue":"1","volume":"19","journalIssueId":3609146,"dateOfPublication":"2023 Aug","monthOfPublication":8,"yearOfPublication":2023,"journal":{"medlineAbbreviation":"Head Face Med","title":"Head & face medicine","essn":"1746-160X","issn":"1746-160X","nlmid":"101245792","isoabbreviation":"Head Face Med"},"printPublicationDate":"2023-08-01"},"pubYear":"2023","pageInfo":"38","abstractText":"<h4>Background</h4>The application of artificial intelligence (AI) in orthodontics and orthognathic surgery has gained significant attention in recent years. However, there is a lack of bibliometric reports that analyze the academic literature in this field to identify publishing and citation trends. By conducting an analysis of the top 100 most-cited articles on AI in orthodontics and orthognathic surgery, we aim to unveil popular research topics, key authors, institutions, countries, and journals in this area.<h4>Methods</h4>A comprehensive search was conducted in the Web of Science (WOS) electronic database to identify the top 100 most-cited articles on AI in orthodontics and orthognathic surgery. Publication and citation data were obtained and further analyzed and visualized using R Biblioshiny. The key domains of the 100 articles were also identified.<h4>Results</h4>The top 100 most-cited articles were published between 2005 and 2022, contributed by 458 authors, with an average citation count of 22.09. South Korea emerged as the leading contributor with the highest number of publications (28) and citations (595), followed by China (16, 373), and the United States (7, 248). Notably, six South Korean authors ranked among the top 10 contributors, and three South Korean institutions were listed as the most productive. International collaborations were predominantly observed between the United States, China, and South Korea. The main domains of the articles focused on automated imaging assessment (42%), aiding diagnosis and treatment planning (34%), and the assessment of growth and development (10%). Besides, a positive correlation was observed between the testing sample size and citation counts (P = 0.010), as well as between the time of publication and citation counts (P < 0.001).<h4>Conclusions</h4>The utilization of AI in orthodontics and orthognathic surgery has shown remarkable progress, particularly in the domains of imaging analysis, diagnosis and treatment planning, and growth and development assessment. This bibliometric analysis provides valuable insights into the top-cited articles and the trends of AI research in this field.","affiliation":"Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, the University of Hong Kong, Prince Philip Dental Hospital, No.34 Hospital Road, Hong Kong SAR, China.","publicationStatus":"epublish","language":"eng","pubModel":"Electronic","pubTypeList":{"pubType":["research-article","Journal Article"]},"meshHeadingList":{"meshHeading":[{"majorTopic_YN":"N","descriptorName":"Humans"},{"majorTopic_YN":"N","descriptorName":"Dental Care"},{"majorTopic_YN":"Y","descriptorName":"Orthodontics"},{"majorTopic_YN":"N","descriptorName":"Bibliometrics"},{"majorTopic_YN":"N","descriptorName":"Artificial Intelligence"},{"majorTopic_YN":"Y","descriptorName":"Orthognathic Surgery"}]},"keywordList":{"keyword":["Artificial intelligence","bibliometrics","Orthodontics And Orthognathic Surgery"]},"subsetList":{"subset":[{"code":"IM","name":"Index Medicus"}]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Open access","availabilityCode":"OA","documentStyle":"pdf","site":"Unpaywall","url":"https://head-face-med.biomedcentral.com/counter/pdf/10.1186/s13005-023-00383-0"},{"availability":"Subscription required","availabilityCode":"S","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.1186/s13005-023-00383-0"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"html","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10463886"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"pdf","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10463886?pdf=render"}]},"isOpenAccess":"Y","inEPMC":"Y","inPMC":"Y","citedByCount":24,"hasReferences":"Y","hasTextMinedTerms":"Y","hasDbCrossReferences":"N","hasPDF":"Y","hasBook":"N","hasSuppl":"Y","hasLabsLinks":"Y","hasData":"Y","license":"cc 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M","initials":"PGM","authorId":{"type":"ORCID","value":"0000-0002-4772-8408"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK."},{"affiliation":"Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK."},{"affiliation":"Department of Plastic and Oral Surgery, Boston Children's Hospital & Harvard School of Dental Medicine, Boston, MA, USA."}]}},{"fullName":"Papaioannou A","lastName":"Papaioannou","firstName":"Athanasios","initials":"A","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK."},{"affiliation":"Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK."},{"affiliation":"Department of Computing, Imperial College London, London, UK."}]}},{"fullName":"Borghi A","lastName":"Borghi","firstName":"Alessandro","initials":"A","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK."},{"affiliation":"Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK."}]}},{"fullName":"Breakey RWF","lastName":"Breakey","firstName":"Richard W F","initials":"RWF","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK."},{"affiliation":"Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK."}]}},{"fullName":"Wilson AT","lastName":"Wilson","firstName":"Alexander T","initials":"AT","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Plastic and Reconstructive Surgery, Yale University School of Medicine, New Haven, CT, USA."}]}},{"fullName":"Jeelani O","lastName":"Jeelani","firstName":"Owase","initials":"O","authorId":{"type":"ORCID","value":"0000-0002-3240-681X"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK."},{"affiliation":"Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK."}]}},{"fullName":"Zafeiriou S","lastName":"Zafeiriou","firstName":"Stefanos","initials":"S","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Computing, Imperial College London, London, UK."}]}},{"fullName":"Steinbacher D","lastName":"Steinbacher","firstName":"Derek","initials":"D","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Plastic and Reconstructive Surgery, Yale University School of Medicine, New Haven, CT, USA."}]}},{"fullName":"Padwa BL","lastName":"Padwa","firstName":"Bonnie L","initials":"BL","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Plastic and Oral Surgery, Boston Children's Hospital & Harvard School of Dental Medicine, Boston, MA, USA."}]}},{"fullName":"Dunaway DJ","lastName":"Dunaway","firstName":"David J","initials":"DJ","authorId":{"type":"ORCID","value":"0000-0001-5063-9943"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK."},{"affiliation":"Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK."}]}},{"fullName":"Schievano S","lastName":"Schievano","firstName":"Silvia","initials":"S","authorId":{"type":"ORCID","value":"0000-0003-2037-5339"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK. s.schievano@ucl.ac.uk."},{"affiliation":"Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK. s.schievano@ucl.ac.uk."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0001-5063-9943"},{"type":"ORCID","value":"0000-0002-3240-681X"},{"type":"ORCID","value":"0000-0002-4772-8408"},{"type":"ORCID","value":"0000-0003-2037-5339"}]},"dataLinksTagsList":{"dataLinkstag":["altmetrics","supporting_data"]},"journalInfo":{"issue":"1","volume":"9","journalIssueId":2853330,"dateOfPublication":"2019 Sep","monthOfPublication":9,"yearOfPublication":2019,"journal":{"medlineAbbreviation":"Sci Rep","title":"Scientific reports","essn":"2045-2322","issn":"2045-2322","nlmid":"101563288","isoabbreviation":"Sci Rep"},"printPublicationDate":"2019-09-01"},"pubYear":"2019","pageInfo":"13597","abstractText":"Current computational tools for planning and simulation in plastic and reconstructive surgery lack sufficient precision and are time-consuming, thus resulting in limited adoption. Although computer-assisted surgical planning systems help to improve clinical outcomes, shorten operation time and reduce cost, they are often too complex and require extensive manual input, which ultimately limits their use in doctor-patient communication and clinical decision making. Here, we present the first large-scale clinical 3D morphable model, a machine-learning-based framework involving supervised learning for diagnostics, risk stratification, and treatment simulation. The model, trained and validated with 4,261 faces of healthy volunteers and orthognathic (jaw) surgery patients, diagnoses patients with 95.5% sensitivity and 95.2% specificity, and simulates surgical outcomes with a mean accuracy of 1.1 ± 0.3 mm. We demonstrate how this model could fully-automatically aid diagnosis and provide patient-specific treatment plans from a 3D scan alone, to help efficient clinical decision making and improve clinical understanding of face shape as a marker for primary and secondary surgery.","affiliation":"UCL Great Ormond Street Institute of Child Health, London, UK.","publicationStatus":"epublish","language":"eng","pubModel":"Electronic","pubTypeList":{"pubType":["Research Support, Non-U.S. Gov't","research-article","Journal Article"]},"grantsList":{"grant":[{"agency":"Great Ormond Street Hospital Childrens Charity","grantId":"W1037","orderIn":0},{"agency":"Engineering and Physical Sciences Research Council","grantId":"EP/N02124X/1","orderIn":0},{"agency":"Great Ormond Street Hospital Charity","grantId":"508857","orderIn":0},{"agency":"European Research Council","grantId":"757923","orderIn":0},{"agency":"NCATS NIH HHS","acronym":"TR","grantId":"UL1 TR001863","orderIn":0}]},"meshHeadingList":{"meshHeading":[{"majorTopic_YN":"N","descriptorName":"Humans"},{"majorTopic_YN":"N","descriptorName":"Image Interpretation, Computer-Assisted","meshQualifierList":{"meshQualifier":[{"majorTopic_YN":"Y","abbreviation":"MT","qualifierName":"methods"}]}},{"majorTopic_YN":"N","descriptorName":"Surgery, Computer-Assisted"},{"majorTopic_YN":"N","descriptorName":"Computer Simulation"},{"majorTopic_YN":"N","descriptorName":"Adolescent"},{"majorTopic_YN":"N","descriptorName":"Adult"},{"majorTopic_YN":"N","descriptorName":"Aged"},{"majorTopic_YN":"N","descriptorName":"Aged, 80 and over"},{"majorTopic_YN":"N","descriptorName":"Middle Aged"},{"majorTopic_YN":"N","descriptorName":"Female"},{"majorTopic_YN":"N","descriptorName":"Male"},{"majorTopic_YN":"N","descriptorName":"Young Adult"},{"majorTopic_YN":"N","descriptorName":"Orthognathic Surgical Procedures","meshQualifierList":{"meshQualifier":[{"majorTopic_YN":"Y","abbreviation":"MT","qualifierName":"methods"}]}},{"majorTopic_YN":"N","descriptorName":"Healthy Volunteers"},{"majorTopic_YN":"N","descriptorName":"Patient-Specific Modeling"},{"majorTopic_YN":"N","descriptorName":"Clinical Decision-Making"},{"majorTopic_YN":"N","descriptorName":"Supervised Machine Learning"},{"majorTopic_YN":"N","descriptorName":"Plastic Surgery Procedures"}]},"subsetList":{"subset":[{"code":"IM","name":"Index Medicus"}]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Subscription required","availabilityCode":"S","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.1038/s41598-019-49506-1"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"html","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC6753131"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"pdf","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC6753131?pdf=render"}]},"isOpenAccess":"Y","inEPMC":"Y","inPMC":"Y","citedByCount":74,"hasReferences":"Y","hasTextMinedTerms":"Y","hasDbCrossReferences":"N","hasPDF":"Y","hasBook":"N","hasSuppl":"Y","hasLabsLinks":"Y","hasData":"Y","license":"cc by","authMan":"N","epmcAuthMan":"N","nihAuthMan":"N","hasTMAccessionNumbers":"N","dateOfCompletion":"2020-10-26","dateOfCreation":"2019-09-21","dateOfRevision":"2023-10-14","electronicPublicationDate":"2019-09-19","firstPublicationDate":"2019-09-19","firstIndexDate":"2019-09-22","fullTextReceivedDate":"2025-02-03","hasEvaluations":"N"}]}}