Application of artificial intelligence-assisted education for postoperative pulmonary rehabilitation: a hybrid model of AI and nurse-driven support.

Saved in:
Bibliographic Details
Title: Application of artificial intelligence-assisted education for postoperative pulmonary rehabilitation: a hybrid model of AI and nurse-driven support.
Authors: Shen C; Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China., Chen J; Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China., Ye G; Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China., Zhang C; Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China., Geng G; Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China., Yan R; TCM&Dermatology Ward, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China. 13696944850@163.com., Wang B; Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China. wang373580062@163.com.
Source: Journal of cardiothoracic surgery [J Cardiothorac Surg] 2026 May 18; Vol. 21 (1). Date of Electronic Publication: 2026 May 18.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101265113 Publication Model: Electronic Cited Medium: Internet ISSN: 1749-8090 (Electronic) Linking ISSN: 17498090 NLM ISO Abbreviation: J Cardiothorac Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1749-8090
DOI:10.1186/s13019-026-04200-y