[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Citation
magiran
..
Civilica.com
/https://civilica.com/l/139890
..
:: Volume 1, Issue 3 (11-2023) ::
Knowledge of Nursing 2023, 1(3): 201-209 Back to browse issues page
Artificial Intelligence in Nursing: A Meta-Analysis
Haideh Mamiyanloo Yengejeh * , Mahdiye Rahimi , Shima Sadat Aghahosseini
Department of Nursing, Faculty of Midwifery and Nursing, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran , Mamiyah92@gmail.com
Abstract:   (539 Views)
Background and Aim: Artificial intelligence can be used in nursing profession to improve decision-making, provide better care to patients, and improve the performance of the medical system. Its application in nursing is new in providing healthcare services. This study was conducted to assess the impact of artificial intelligence on nursing profession.
Materials and methods: In this review, we searched related keywords in different databases including PubMed, Web of Science, Scopus, Science Direct, Web of Knowledge, EBSCO, Wiley, ISI, Elsevier, Embase and Google Scholar from 2015 to 2024. A fixed effect model and inverse variance method were applied. All statistical analyses were performed with STATA/MP software (ver. 17) and significance level less than 0.05.
 Results: Six studies were selected according to the inclusion criteria. Meta-analysis showed that the accuracy of artificial intelligence in the field of nursing is 88% (ES: 0.89, 95% CI; 0.87-0.90).
Conclusion: Based on the findings, the use of artificial intelligence in nursing has advantages and disadvantages. However, more studies are needed to confirm the results.
 
Keywords: Artificial Intelligence (AI), Nursing, Meta-Analysis.
Full-Text [PDF 195 kb]   (204 Downloads)    
Type of Study: Research | Subject: Special
Received: 2024/06/21 | Accepted: 2023/11/19 | Published: 2023/11/19
References
1. References
2. Peters BS, Armijo PR, Krause C, Choudhury SA, Oleynikov D. Review of Emerging Surgical Robotic Technology. Surgical Endoscopy. 2018; 32(4):1636-1655. [DOI:10.1007/s00464-018-6079-2]
3. Ficuciello F, Tamburrini G, Arezzo A, Villani L, Siciliano B. Autonomy in Surgical Robots and its Meaningful Human Control. Paladyn, Journal of Behavioral Robotics. 2019;10:30-43. [DOI:10.1515/pjbr-2019-0002]
4. Jamili S, Afshari P, Dosti F. The Use of Artificial Intelligence in Nursing Processes, the Third Conference on Information Technology and Health Promotion with a Focus on Nursing, Tehran. 2019. [Persian]
5. O'Connor S, Yan Y, Thilo FJ, Felzmann H, Dowding D, Lee JJ. Artificial Intelligence in Nursing and Midwifery: A systematic review. J Clin Nurs. 2023;32(13-14):2951-2968. [DOI:10.1111/jocn.16478]
6. Guitart A, Del Río AF, Periáñez Á, Bellhouse L. Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs. Artif Intell Med. 2023; 138:102511. [DOI:10.1016/j.artmed.2023.102511]
7. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Fürstenau D, Biessmann F, et al. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. J Med Internet Res. 2019;23(11):e26p522. [DOI:10.2196/26522]
8. Van Bulck L, Couturier R, Moons P. Applications of Artificial Intelligence for Nursing: Has a New Era Arrived? Eur J Cardiovasc Nurs, 2023; 12;22(3):e19-e20. [DOI:10.1093/eurjcn/zvac097]
9. Eghtedar S, Mesgarzadeh M, Aparnak F. Artificial Intelligence in Nursing and Midwifery Care: A New Solution or New Ethical Challenges? Nursing and Midwifery Journal. 2023;21(4):272-276. [Persian] [DOI:10.61186/unmf.21.4.272]
10. Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Annals of internal medicine. 2018;169(7):467-73. [DOI:10.7326/M18-0850]
11. Jiang N, Xie H, Lin J, Wang Y, Yin Y. Diagnosis and Nursing Intervention of Gynecological Ovarian Endometriosis with Magnetic Resonance Imaging under Artificial Intelligence Algorithm. Comput Intell Neurosci. 2022;11;2022:3123310 [DOI:10.1155/2022/3123310]
12. Hong L, Cheng X, Zheng D. Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease. Contrast Media Mol Imaging. 2021;24;2021:6423398. [DOI:10.1155/2021/6423398]
13. Xu W, Xie Y, Zhang X, Li W. Cerebral Angiography under Artificial Intelligence Algorithm in the Design of Nursing Cooperation Plan for Intracranial Aneurysm Patients in Craniotomy Clipping. Comput Math Methods Med. 2022;11;2022:2182931. [DOI:10.1155/2022/2182931]
14. Du Q, Liang D, Zhang L, Chen G, Li X. Evaluation of Functional Magnetic Resonance Imaging under Artificial Intelligence Algorithm on Plan-Do-Check-Action Home Nursing for Patients with Diabetic Nephropathy. Contrast Media Mol Imaging. 2022;25;2022:9882532. [DOI:10.1155/2022/9882532]
15. Yin P, Wang H. Evaluation of Nursing Effect of Pelvic Floor Rehabilitation Training on Pelvic Organ Prolapse in Postpartum Pregnant Women under Ultrasound Imaging with Artificial Intelligence Algorithm. Comput Math Methods Med. 2022;25;2022:1786994. [DOI:10.1155/2022/1786994]
16. Chen X, Huang X, Yin M. Implementation of Hospital-to-Home Model for Nutritional Nursing Management of Patients with Chronic Kidney Disease Using Artificial Intelligence Algorithm Combined with CT Internet. Contrast Media Mol Imaging. 2022;27;2022:1183988 [DOI:10.1155/2022/1183988]
17. Gruson D. Artificial Intelligence and the Nursing Profession. Rev Infirm. 2019;68(252):28. [DOI:10.1016/j.revinf.2019.04.011]
18. Guan J. Artificial Intelligence in Healthcare and Medicine: Promises, Ethical Challenges and Governance. Chinese Med Sci J. 2019;34(2):76-83.
19. Selvaraj MS, Rajaprakash DS, Mariappan DR, Remya DP, editors. Ethical Challenges of Artificial Intelligence (AI) in the Field of Health Care: A Narrative Review.International Journal of Creative Research Thoughts(IJCRT) 2022,10(3):620-623.
20. Gerke S, Minssen T, Cohen G. Ethical and Legal Challenges of Artificial Intelligence-Driven Healthcare. Artificial Intelligence in Healthcare: Elsevier. 2020; p.295-336. [DOI:10.1016/B978-0-12-818438-7.00012-5]
21. Morley J, Machado CC, Burr C, Cowls J, Joshi I, Taddeo M, et al. The Ethics of AI in Health Care: A Mapping Review. Soc Sci Med. 2020;260:113172. [DOI:10.1016/j.socscimed.2020.113172]
22. Siala H, Wang Y. Shifting Artificial Intelligence to be Responsible in Healthcare: A Systematic Review. Soc Sci Med. 2022;114782. [DOI:10.1016/j.socscimed.2022.114782]
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mamiyanloo Yengejeh H, Rahimi M, Aghahosseini S S. Artificial Intelligence in Nursing: A Meta-Analysis. Knowledge of Nursing 2023; 1 (3) :201-209
URL: http://knjournal.ir/article-1-70-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 1, Issue 3 (11-2023) Back to browse issues page
دانش پرستاری knowledge of nursing
Persian site map - English site map - Created in 0.05 seconds with 41 queries by YEKTAWEB 4660