Retrospective analysis of nursing interventions using artificial intelligence multimodal emotion recognition for perioperative depression in head and neck tumors

doi:10.5498/wjp.122781

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 16, Issue 11

This Article

(10)

(0)

(388)

Peer-Review Report of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Psychiatry

ISSN

2220-3206

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

Copyright: ©Author(s) 2026. 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.

World J Psychiatry. Nov 19, 2026; 16(11): 122781
Published online Nov 19, 2026. doi: 10.5498/wjp.122781

Table 4 Comparison of postoperative clinical outcomes between the two groups of patients, n (%)/mean ± SD

Indicator	Conventional care group (n = 27)	Artificial intelligence personalized care group (n = 33)	t/χ² value	P value
Postoperative hospital stay (days)	14.48 ± 4.13	11.76 ± 3.36	2.814	0.007
Incidence of complications	11 (40.74)	5 (15.15)	4.972	0.026
SF-36 PCS score	56.41 ± 8.26	63.52 ± 7.84	-3.412	0.001
SF-36 MCS score	57.70 ± 7.92	66.27 ± 7.20	-4.385	< 0.001
ERS (minutes/day)	1.51 ± 0.44	2.39 ± 0.52	-6.981	< 0.001

SF-36: 36-Item Short Form Health Survey; MCS: Mental Component Summary; ERS: Emotional Recovery Score.

Full Size Table

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; 16(11): 122781
URL: https://www.wjgnet.com/2220-3206/full/v16/i11/122781.htm
DOI: https://dx.doi.org/10.5498/wjp.122781

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; 16(11): 122781 [DOI: 10.5498/wjp.122781]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.