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Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective. / 中国视角下的新冠肺炎最新诊断方法演进.
Liu, Mingtao; Lyu, Jiali; Zheng, Xianhui; Liang, Zhiman; Lei, Baoying; Chen, Huihuang; Mai, Yiyin; Huang, Huimin; Sun, Baoqing.
  • Liu M; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510
  • Lyu J; National Center for Respiratory Medicine, National Clinical Research Center of Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510140, China.
  • Zheng X; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510
  • Liang Z; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510
  • Lei B; Guangzhou Medical University, Guangzhou 511495, China.
  • Chen H; Guangzhou Medical University, Guangzhou 511495, China.
  • Mai Y; Guangzhou Medical University, Guangzhou 511495, China.
  • Huang H; National Center for Respiratory Medicine, National Clinical Research Center of Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510140, China. huimin@gird.cn.
  • Sun B; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510
J Zhejiang Univ Sci B ; 24(6): 463-484, 2023 Jun 15.
Artículo en Inglés, Chino | MEDLINE | ID: covidwho-20238798
ABSTRACT
Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world's healthcare systems, wreaking havoc, and spreading rapidly through human contact. With fever, fatigue, and a persistent dry cough being the hallmark symptoms, this disease threatened to destabilize the delicate balance of our global community. Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region, and an important factor in epidemic assessment and the development of control measures. It also plays a crucial role in ensuring that patients receive the appropriate medical treatment, leading to optimal patient care. Reverse transcription-polymerase chain reaction (RT-PCR) technology is currently the most mature method for detecting viral nucleic acids, but it has many drawbacks. Meanwhile, a variety of COVID-19 detection methods, including molecular biological diagnostic, immunodiagnostic, imaging, and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs. These methods can help clinicians diagnose and treat COVID-19 patients. This review describes the variety of such methods used in China, providing an important reference in the field of the clinical diagnosis of COVID-19.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / COVID-19 Tipo de estudio: Estudios diagnósticos / Estudio observacional / Estudio pronóstico Tópicos: Covid persistente Límite: Humanos País/Región como asunto: Asia Idioma: Inglés / Chino Revista: J Zhejiang Univ Sci B Asunto de la revista: Biologia / Medicina Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / COVID-19 Tipo de estudio: Estudios diagnósticos / Estudio observacional / Estudio pronóstico Tópicos: Covid persistente Límite: Humanos País/Región como asunto: Asia Idioma: Inglés / Chino Revista: J Zhejiang Univ Sci B Asunto de la revista: Biologia / Medicina Año: 2023 Tipo del documento: Artículo