Artificial Intelligence-Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study.

Bian, Yanyan; Xiang, Yongbo; Tong, Bingdu; Feng, Bin; Weng, Xisheng

Bian, Yanyan; Xiang, Yongbo; Tong, Bingdu; Feng, Bin; Weng, Xisheng.

Afiliación

Bian Y; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Xiang Y; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Tong B; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Feng B; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Weng X; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

J Med Internet Res ; 22(5): e16896, 2020 05 26.

Article en En | MEDLINE | ID: mdl-32452807

Asunto(s)

Inteligencia Artificial/normas; Ortopedia/métodos; Estudios de Evaluación como Asunto; Estudios de Seguimiento; Humanos; Periodo Posoperatorio; Investigación Cualitativa

Palabras clave

artificial intelligence; conversational agent; cost-effectiveness; follow-up

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ortopedia / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China

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