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Artificial Intelligence Feedback for Bronchoscopy Training: Old Wine in a New Bottle or True Innovation?
Huang, Junfeng; Lin, Jinsheng; Lin, Zikai; Li, Shiyue; Zhong, Changhao.
Afiliação
  • Huang J; Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Lin J; Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Lin Z; Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Medical University,
  • Li S; Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Zhong C; Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. Electronic address: vast1982@1
Chest ; 165(2): e60-e61, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38336449

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Broncoscopia / Inteligência Artificial Limite: Humans Idioma: En Revista: Chest Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Broncoscopia / Inteligência Artificial Limite: Humans Idioma: En Revista: Chest Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China