doi:10.3969/j.issn.1674-490X.2024.03.011

Abstract

Abstract: With the continuous progress of technology and the rapid development of artificial intelligence technology, the application of multimodal artificial intelligence in nursing education has become a trend. The ability of multimodal AI to process multiple data modalities from different perceptual sources opens up new opportunities for innovation in nursing education. The purpose of this paper is to explore the application of multimodal AI in nursing education and analyze its future trends.

Key words: multimodality, artificial intelligence, nursing education, deep learning

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References

[1] NG F Y C, THIRUNAVUKARASU A J, CHENG H R, et al. Artificial intelligence education: an evidence-based medicine approach for consumers, translators, and developers[J]. Cell Rep Med, 2023, 4(10): 101230. DOI: 10.1016/j.xcrm.2023.101230.
[2] SOENKSEN L R, MA Y, ZENG C, et al. Integrated multimodal artificial intelligence framework for healthcare applications[J]. NPJ Digit Med, 2022, 5(1): 149. DOI: 10.1038/s41746-022-00689-4.
[3] NARAYANAN S, RAMAKRISHNAN R, DURAIRAJ E, et al. Artificial intelligence revolutionizing the field of medical education[J]. Cureus, 2023, 15(11): e49604. DOI: 10.7759/cureus.49604.
[4] 吴岸雄,赵嘉凌,黄少伟,等.多模态人工智能数据分析实验服务平台建设[J].实验室研究与探索, 2023, 42(4): 188-193. DOI: 10.19927/j.cnki.syyt.2023.04.038.
[5] 李诏宇.多模态人工智能正大步走向场景应用新阶段[N].科技日报,2022-10-10(006).DOI: 10.28502/n.cnki.nkjrb.2022.005715.
[6] ZHOU T X, RUAN S, CANU S. A review: deep learning for medical image segmentation using multi-modality fusion[J]. Array, 2019, 3/4: 100004. DOI: 10.1016/j.array.2019.100004.
[7] 余妙如,张德富,曾伟,等.人工智能在心脏多模态影像中的应用[J].临床心血管病杂志, 2023, 39(12): 922-929. DOI: 10.13201/j.issn.1001-1439.2023.12.005.
[8] LIU H, ZHUANG Y Z, SONG E M, et al. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations[J]. Med Phys, 2023, 50(9): 5460-5478. DOI: 10.1002/mp.16338.
[9] KIEGALDIE D, SHAW L. Virtual reality simulation for nursing education: effectiveness and feasibility[J]. BMC Nurs, 2023, 22(1): 488. DOI: 10.1186/s12912-023-01639-5.
[10] LIAW S Y, TAN J Z, LIM S, et al. Artificial intelligence in virtual reality simulation for interprofessional communication training: mixed method study[J]. Nurse Educ Today, 2023, 122: 105718. DOI: 10.1016/j.nedt.2023.105718.
[11] 王颖,田建丽,焦亚辉,等.虚拟仿真技术联合雨课堂在肠造口护理实践教学中的应用[J].护理学杂志, 2024, 39(2): 83-86.
[12] 李龙倜,周庆焕,陈新,等.多模态视角下虚拟现实技术在骨科护理临床实践教学中的应用[J].卫生职业教育, 2023, 41(24): 92-95. DOI: 10.20037/j.issn.1671-1246.2023.24.28.
[13] 赵小明,杨轶娇,张石清.面向深度学习的多模态情感识别研究进展[J].计算机科学与探索, 2022, 16(7): 1479-1503. DOI: 10.3778/j.issn.1673-9418.2112081.
[14] 刘继明,张培翔,刘颖,等.多模态的情感分析技术综述[J].计算机科学与探索, 2021, 15(7): 1165-1182. DOI: 10.3778/j.issn.1673-9418.2012075.
[15] MUZAMMEL M, SALAM H, OTHMANI A. End-to-end multimodal clinical depression recognition using deep neural networks: a comparative analysis[J]. Comput Methods Programs Biomed, 2021, 211: 106433. DOI: 10.1016/j.cmpb.2021.106433.
[16] ASLAM A, SARGANO A B, HABIB Z. Attention-based multimodal sentiment analysis and emotion recognition using deep neural networks[J]. Appl Soft Comput, 2023, 144: 110494. DOI: 10.1016/j.asoc.2023.110494.
[17] CASTONGUAY A, FARTHING P, DAVIES S, et al. Revolutionizing nursing education through Ai integration: a reflection on the disruptive impact of ChatGPT[J]. Nurse Educ Today, 2023, 129: 105916. DOI: 10.1016/j.nedt.2023.105916.
[18] 陈梦越,蒋师,刘春娜,等.基于职教云平台的个性化学习模式在《成人护理学》教学中的实践研究[J].继续医学教育, 2019, 33(7): 2-4. DOI: 10.3969/j.issn.1004-6763.2019.07.002.
[19] 贾君枝,崔西燕,张贵香.人工智能技术对知识组织的影响:以知识图谱为视角[J].图书馆论坛, 2024, 44(2): 1-8.
[20] 张山,高丽,王艳玲,等.基于知识图谱的“四维”《内科护理学》智慧服务体系的构建[J/OL].护士进修杂志:1-9[2024-05-07].https://read.cnki.net/web/Journal /Article/FSJX20240321003.html.
[21] 徐月梅,胡玲,赵佳艺,等. 语言模型与多语言智能的研究进展与启示[J].计算机应用, 2023, 43(S2): 1-8.
[22] LONG J J, LIN J X. An empirical study on cultivating college students' cross-cultural communicative competence based on the artificial-intelligence English-teaching mode[J]. Front Psychol, 2022, 13: 976310. DOI: 10.3389/fpsyg.2022.976310.
[23] 钟汶汐,毛弦筠,程静,等.应用生成式人工智能培养护理人才跨专业沟通技能的态势分析[J].中华护理教育, 2024, 21(3): 282-288.
[24] 赵朝阳,朱贵波,王金桥.ChatGPT给语言大模型带来的启示和多模态大模型新的发展思路[J].数据分析与知识发现, 2023, 7(3): 26-35. DOI: 10.11925/infotech.2096-3467.2023.0216.
[25] GRUNHUT J, WYATT A T, MARQUES O. Educating future physicians in artificial intelligence(AI): an integrative review and proposed changes[J]. J Med Educ Curric Dev, 2021, 8: 23821205211036836. DOI: 10.1177/23821205211036836.
[26] WEIDENER L, FISCHER M. Proposing a principle-based approach for teaching AI ethics in medical education[J]. JMIR Med Educ, 2024, 10: e55368. DOI: 10.2196/55368.
[27] BOSCARDIN C K, GIN B, GOLDE P B, et al. ChatGPT and generative artificial intelligence for medical education: potential impact and opportunity[J]. Acad Med, 2024, 99(1): 22-27. DOI: 10.1097/ACM.0000000000005439.
[28] Duke University School of Nursing. Academic Programs[EB/OL]. [2023-7-10].https://nursing. duke. edu/academic-programs#program-select.
[29] GRAHAM F. Daily briefing: will ChatGPT kill the essay assignment?[J]. Nature, 2022-12-12. DOI: 10.1038/d41586-022-04437-2.Epub ahead of print.
[30] 尚丽丽.新医科背景下医学研究生教育的思考[J].医学研究生学报, 2018, 31(10): 1078-1081. DOI: 10.16571/j.cnki.1008-8199.2018.10.017.

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