Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros

Bases de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Orthod Craniofac Res ; 24 Suppl 2: 26-36, 2021 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-33973362

RESUMO

Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (c) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Ortodontia , Inteligência Artificial , Ciência de Dados , Aprendizado de Máquina
2.
Med Hypotheses ; 84(5): 504-5, 2015 May.
Artigo em Inglês | MEDLINE | ID: mdl-25737337

RESUMO

Remote ischemic conditioning (RIC) including remote ischemic preconditioning (RIPC) and remote ischemic postconditioning (RIPostC) is widely reported to be able to prevent many organs, such as heart, brain, and skeletal muscle from ischemia-related injury. However, the clinical application of RIC is confined to treating myocardial infarction and stroke. Since RIC could prevent skeletal muscle from ischemia-related injury, and was effective in heart and brain treatments, we hypothesized RIC could treat ischemia-related injury of limbs, such as diabetic foot, Buerger's disease, plantation of severed limb, and crush injury. As we know, many researches not only proved the promising clinical applications of RIC, but also researched the mechanisms in animal models. Our hypothesis could be confirmed by these researches.


Assuntos
Extremidades/fisiopatologia , Pós-Condicionamento Isquêmico/métodos , Modelos Biológicos , Traumatismo por Reperfusão Miocárdica/terapia , Humanos
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA