人工智能在儿科卫生保健情感识别中的应用：范围综述。

IF 2.3 4区医学 Q2 NURSING

Journal of Pediatric Nursing-Nursing Care of Children & Families Pub Date : 2025-09-30 DOI:10.1016/j.pedn.2025.09.017

Ana Rita Figueiredo, António Pereira, Francisca Frias, Luíza Moura Dias Rodrigues, Paula Diogo

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引用次数: 0

摘要

背景：人工智能在医疗保健领域的应用正在迅速增长。在儿科，人工智能技术已被应用于早期诊断、治疗、提高护理精度和情绪识别。这将为克服由于认知、身体或情感原因导致的儿童表达情感能力方面的困难提供新的机会。目的：综述人工智能在儿童青少年情绪识别中的应用，评价其临床应用价值。方法：采用乔安娜布里格斯研究所的方法进行范围审查。在PubMed， Scopus, CINAHL Ultimate, MEDLINE Ultimate， IEEE explore和Wiley Online Library中进行了检索。最初共确定了136条记录，其中23项研究符合纳入标准。对数据进行分析和叙述总结。结果：这些研究在方法和范围上各不相同，包括使用人工智能进行面部、语音和基于绘画的情感识别，并在各个领域应用。基于人工智能的工具显示出良好的准确性，特别是在改善情绪识别、支持早期诊断和为临床决策提供信息方面。结论：人工智能有可能通过改善情绪状态的识别和管理来改变儿科医疗保健，特别是在弱势群体中。尽管面临挑战，但将技术融入临床实践是促进个性化和情感护理的一种有前途的策略。意义：通过识别和响应情感需求，人工智能在儿科护理实践中可以增强护理的个性化，创造情感敏感的治疗环境，促进干预的人性化和有效性。范围审查注册：doi:10.17605/OSF.IO/NXMH7。

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Applications of artificial intelligence in emotion recognition in pediatrics health care: Scoping review

Background

The use of artificial intelligence in healthcare is growing rapidly. In pediatrics, artificial intelligence technologies have been applied to early diagnosis, treatment, increased precision in care, and recognition of emotions. This will provide new opportunities to overcome the difficulties that may have developed in children's ability to express emotions due to cognitive, physical, or emotional reasons.

Aim

To review the existing literature on the application of artificial intelligence to emotion recognition in children and adolescents, and to evaluate its applicability in clinical settings.

Methods

A scoping review was conducted using the Joanna Briggs Institute methodology. Searches were conducted in PubMed, Scopus, CINAHL Ultimate, MEDLINE Ultimate, IEEE Xplore and Wiley Online Library. A total of 136 records were initially identified, and 23 studies met the inclusion criteria. Data were analyzed and summarized narratively.

Results

The studies varied in methodology and scope, and included the use of artificial intelligence for facial, voice, and drawing-based emotion recognition, with applications in various domains. Artificial intelligence-based tools showed promising levels of accuracy, particularly in improving emotion identification, supporting early diagnosis, and informing clinical decision-making.

Conclusion

Artificial intelligence has the potential to transform pediatric healthcare by improving the identification and management of emotional states, particularly in vulnerable populations. Despite challenges, integrating technology into clinical practice is a promising strategy to promote personalized and emotional care.

Implications

By recognizing and responding to emotional needs, artificial intelligence in pediatric nursing practice can enhance the personalization of care and create therapeutic environments that are emotionally sensitive, promoting the humanization and effectiveness of interventions.

Scoping review registration: doi:10.17605/OSF.IO/NXMH7.

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来源期刊

Journal of Pediatric Nursing-Nursing Care of Children & Families NURSING-PEDIATRICS

CiteScore

3.70

自引率

8.30%

发文量

291

审稿时长

65 days

期刊介绍： Official Journal of the Society of Pediatric Nurses and the Pediatric Endocrinology Nursing Society (PENS) The Journal of Pediatric Nursing: Nursing Care of Children and Families (JPN) is interested in publishing evidence-based practice, quality improvement, theory, and research papers on a variety of topics from US and international authors. JPN is the official journal of the Society of Pediatric Nurses and the Pediatric Endocrinology Nursing Society. Cecily L. Betz, PhD, RN, FAAN is the Founder and Editor in Chief. Journal content covers the life span from birth to adolescence. Submissions should be pertinent to the nursing care needs of healthy and ill infants, children, and adolescents, addressing their biopsychosocial needs. JPN also features the following regular columns for which authors may submit brief papers: Hot Topics and Technology.