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A scoping review of deep learning in cancer nursing combined with augmented reality: The era of intelligent nursing is coming.
Ren, Yulan; Yang, Yao; Chen, Jiani; Zhou, Ying; Li, Jiamei; Xia, Rui; Yang, Yuan; Wang, Qiao; Su, Xi.
Afiliação
  • Ren Y; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
  • Yang Y; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
  • Chen J; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
  • Zhou Y; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
  • Li J; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
  • Xia R; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
  • Yang Y; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
  • Wang Q; Department of Gastrointestinal Surgery, TCM-Integrated Hospital of Southern Medical University, Guangzhou, China.
  • Su X; Department of Nursing, Guangzhou Medical University, Guangzhou, China.
Asia Pac J Oncol Nurs ; 9(12): 100135, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36276884
ABSTRACT
Artificial intelligence has been developing greatly in the field of medicine. As a new research hotspot of artificial intelligence, deep learning (DL) has been widely applied in the fields of cancer risk assessment, symptom recognition, and cancer detection. Therefore, nursing care issues in terms of consuming time and energy, lower accuracy, and lower efficiency can be solved with applying DL in caring cancer patients. In addition, augmented reality (AR) has great navigation potential through combining computer-generated virtual elements with the real world. Thus, DL â€‹+ â€‹AR may facilitate patients with cancer to possess a brand-new model of nursing care that is more intelligent, mobile, and adapted to the information age, compared to traditional nursing. With the advent of the era of intelligent nursing, future nursing models can not only learn from the DL â€‹+ â€‹AR model to meet the needs of patients with cancer but also reduce nursing workload, save healthcare resources, and improve work efficiency, the quality of nursing care, as well as the quality of life for cancer patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Aspecto: Patient_preference Idioma: En Revista: Asia Pac J Oncol Nurs Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Aspecto: Patient_preference Idioma: En Revista: Asia Pac J Oncol Nurs Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China