Relevance of practice-based research to orthodontics

Allareddy, Veerasathpurush; Frazier‐Bowers, Sylvia A.; Park, Jae Hyun; Gilbert, Gregg H.

doi:10.2319/0003-3219-91.6.856

Cited by 5 publications

(8 citation statements)

References 4 publications

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“…There are several barriers to adopting blockchain technology and federated learning in orthodontics. 4,16,26,[28][29][30][31][32] Adoption of a new technology which has shown much promise but still in infancy is likely to be a hard sell to orthodontists. The majority of orthodontists may not have the technological skills to use these new tools and may not have the time to invest to reskill themselves.…”

Section: Challeng E S For Adop Tionmentioning

confidence: 99%

“…In Team science, experts from multiple varied fields work on addressing a scientific challenge by leveraging their diverse strengths and expertise 3 . Traditionally, the field of orthodontics is characterized by clinician scientists working in silos with a vast majority of studies originating from academic centers 4 . There is a paucity of studies that have transcended traditionally segregated clinical specialties and scientific disciplines.…”

Section: Contextmentioning

confidence: 99%

“…There are several barriers to adopting blockchain technology and federated learning in orthodontics 4,16,26,28–32 . Adoption of a new technology which has shown much promise but still in infancy is likely to be a hard sell to orthodontists.…”

Section: Challenges For Adoptionmentioning

confidence: 99%

“…3 Traditionally, the field of orthodontics is characterized by clinician scientists working in silos with a vast majority of studies originating from academic centers. 4 There is a paucity of studies that have transcended traditionally segregated clinical specialties and scientific disciplines. Single center academic studies are well conducted but are not truly generalizable to the real world of clinical practice.…”

mentioning

confidence: 99%

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Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health

Allareddy

Rampa

Venugopalan

et al. 2023

Orthod Craniofacial Res

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There is a paucity of largescale collaborative initiatives in orthodontics and craniofacial health. Such nationally representative projects would yield findings that are generalizable. The lack of large‐scale collaborative initiatives in the field of orthodontics creates a deficiency in study outcomes that can be applied to the population at large. The objective of this study is to provide a narrative review of potential applications of blockchain technology and federated machine learning to improve collaborative care. We conducted a narrative review of articles published from 2018 to 2023 to provide a high level overview of blockchain technology, federated machine learning, remote monitoring, and genomics and how they can be leveraged together to establish a patient centered model of care. To strengthen the empirical framework for clinical decision making in healthcare, we suggest use of blockchain technology and integrating it with federated machine learning. There are several challenges to adoption of these technologies in the current healthcare ecosystem. Nevertheless, this may be an ideal time to explore how best we can integrate these technologies to deliver high quality personalized care. This article provides an overview of blockchain technology and federated machine learning and how they can be leveraged to initiate collaborative projects that will have the patient at the center of care.

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Section: Challeng E S For Adop Tionmentioning

confidence: 99%

Section: Contextmentioning

confidence: 99%

Section: Challenges For Adoptionmentioning

confidence: 99%

mentioning

confidence: 99%

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Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health

Allareddy

Rampa

Venugopalan

et al. 2023

Orthod Craniofacial Res

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“…[13][14][15] The NDPBRN provides an excellent framework for conducting large-scale clinical studies nationwide across different practice settings. 16…”

Section: Applications Of Artificial Intelligence and Big Data In Cran...mentioning

confidence: 99%

Preface to the 9th Biennial COAST Conference: Harnessing Technology and Biomedicine for Personalized Orthodontics

Frazier‐Bowers

Allareddy²,

Venugopalan

et al. 2023

Orthod Craniofacial Res

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ObjectiveThe Consortium on Orthodontic Advances in Science and Technology (COAST) convened for its 9th biennial conference titled ‘Harnessing Technology and Biomedicine for Personalized Orthodontics’ to explore cutting‐edge craniofacial research towards building the foundations for precision care in orthodontics.Setting and Sample PopulationSeventy‐five faculty, scholars, private practitioners, industry, residents and students met at the UCLA Arrowhead Lodge on 6–9 November 2022 for networking, scientific presentations and facilitated discussions. Thirty‐three speakers provided state‐of‐the‐art, evidence‐based scientific and perspective updates in craniofacial and orthodontic‐related fields. The overall format included an Education Innovation Award Faculty Development Career Enrichment (FaCE) workshop focused on faculty career development, three lunch and learns, keynote or short talks and poster presentations.Material and MethodsThe 2022 COAST Conference was organized thematically to include (a) genes, cells and environment in craniofacial development and abnormalities; (b) precision modulation of tooth movement, retention and facial growth; (c) applications of artificial intelligence in craniofacial health; (d) precision approaches to Sleep Medicine, OSA and TMJ therapies; and (e) precision technologies and appliances.ResultsThe collective advances in orthodontics and science represented in the manuscripts of this issue fulfil our goal of laying solid foundations for personalized orthodontics. Participants elevated the need for stronger industry‐academic research partnerships to leverage knowledge gained from large datasets with treatment approaches and outcomes; systematizing the potential of big data including through multi‐omics and artificial intelligence approaches; refining the genotype: phenotype correlation to create biotechnology that will rescue inherited dental and craniofacial defects; evolving studies of tooth movement, sleep apnoea and TMD treatment to accurately measure dysfunction and treatment successes; and maximizing the integration of newer orthodontic devices and digital workflows.ConclusionsTechnological advances combined with those in biomedicine and machine learning are rapidly changing the delivery of health care including that in orthodontics. These advances promise to lead to enhanced customization, efficiencies and outcomes of patient care in routine orthodontic problems and in severe craniofacial problems, OSA and TMD.

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Applications and challenges of implementing artificial intelligence in orthodontics: A primer for orthodontists

Lee,

Allareddy,

Rampa

et al. 2024

Seminars in Orthodontics

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Relevance of practice-based research to orthodontics

Cited by 5 publications

References 4 publications

Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health

Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health

Preface to the 9th Biennial COAST Conference: Harnessing Technology and Biomedicine for Personalized Orthodontics

Applications and challenges of implementing artificial intelligence in orthodontics: A primer for orthodontists

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