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World J Psychiatry. Nov 19, 2026; 16(11): 122781
Published online Nov 19, 2026. doi: 10.5498/wjp.122781
Published online Nov 19, 2026. doi: 10.5498/wjp.122781
Retrospective analysis of nursing interventions using artificial intelligence multimodal emotion recognition for perioperative depression in head and neck tumors
Yan-Fang Zhu, Xiao-Lin Xuan, Yi-Qi Li, Department of Otolaryngology and Head and Neck Surgery, Affiliated Hospital of Jiangnan University, Wuxi 214100, Jiangsu Province, China
Co-first authors: Yan-Fang Zhu and Xiao-Lin Xuan.
Author contributions: Zhu YF and Xuan XL jointly participated in the design of the research, collection and collation of patient clinical data, statistical analysis of research results, and drafting and revision of the manuscript; Li YQ provided overall research guidance, supervised the entire research process, critically reviewed and revised the manuscript. All authors have read and approved the final version of the manuscript, and agree to the submission of the manuscript to your journal. Zhu YF and Xuan XL (co-first authors) contributed equally to this retrospective study.
AI contribution statement: The authors declare that no AI tools were used in the development or writing of this manuscript and take full responsibility for its integrity, accuracy, and originality.
Institutional review board statement: This study was reviewed and approved by the appropriate Institutional review board of Affiliated Hospital of Jiangnan University, No. 202604.101.
Informed consent statement: All the individuals who participated in this study provided their written informed consent prior to study enrolment.
Conflict-of-interest statement: The authors report no relevant conflicts of interest.
Data sharing statement: No additional data are available.
Corresponding author: Yi-Qi Li, Associate Chief Nurse, Department of Otolaryngology and Head and Neck Surgery, Affiliated Hospital of Jiangnan University, No. 1000 Hefeng Road, Xuelang Street, Wuxi 214100, Jiangsu Province, China. 13159400822@qq.com
Received: June 5, 2026
Revised: July 1, 2026
Accepted: July 17, 2026
Published online: November 19, 2026
Processing time: 145 Days and 15.8 Hours
Revised: July 1, 2026
Accepted: July 17, 2026
Published online: November 19, 2026
Processing time: 145 Days and 15.8 Hours
Core Tip
Core Tip: Artificial intelligence multimodal emotion recognition has good diagnostic efficacy. Applying it to targeted nursing for head and neck tumor patients can promptly capture perioperative depressive mood, streamline nursing response, and improve emotional status and postoperative rehabilitation.