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7/17/2026 3:49:18 AM | Browse: 2 | Download: 0
Publication Name World Journal of Psychiatry
Manuscript ID 122781
DOI 10.5498/wjp.122781
Country China
Category Psychiatry
Manuscript Type Retrospective Study
Article Title Retrospective analysis of nursing interventions using artificial intelligence multimodal emotion recognition for perioperative depression in head and neck tumors
Manuscript Source Unsolicited Manuscript
All Author List Yan-Fang Zhu, Xiao-Lin Xuan and Yi-Qi Li
Funding Agency and Grant Number
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. 1315940822@qq.com
Key Words Head and neck tumors; Perioperative depression; Artificial intelligence; Multimodal emotion recognition; Personalized care; Quality of life
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.
Citation Zhu YF, Xuan XL, Li YQ. Retrospective analysis of nursing interventions using artificial intelligence multimodal emotion recognition for perioperative depression in head and neck tumors. World J Psychiatry 2026; In press
PDF 122781-in-press.pdf
Received
2026-06-05 11:24
Peer-Review Started
2026-06-05 11:24
First Decision by Editorial Office Director
Return for Revision
2026-06-24 10:29
Revised
2026-07-01 10:00
Publication Fee Transferred
2026-07-07 08:20
Second Decision by Editor
2026-07-17 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-07-17 03:49
Articles in Press
2026-07-17 03:49
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2220-3206 (online)
Open Access Open-Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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