ARTIFICIAL INTELLIGENCE INNOVATIONS IN NURSING DIAGNOSIS AND EARLY DISEASE DETECTION
DOI:
https://doi.org/10.31243/ei.uta.v10i3.2950.2025Keywords:
artificial intelligence, nursing diagnostics, early diagnosis, machine learning specialist systemsAbstract
Introduction: Artificial Intelligence was introduced in almost all human activities and can mean a major change in human care and more effective performance of tasks such as diagnosis and early detection of diseases, in addition to treatment monitoring, patient safety, consultation by evidence and tests and constant communication. Objective: to explore Artificial Intelligence innovations in nursing and early disease diagnosis aimed at improving the efficiency of human care. Method: Document review, in scientific databases such as PubMed, Scielo and search engines such as Google Scholar, of information from the last 8 years. Using the PRISMA method, the inclusion criteria are: complete scientific articles, and technological information with keywords: use of AI for nursing diagnoses, NANDA, NIC, NOC, early identification of clinical manifestations and symptoms, from the last 8 years. Results: Twenty-one documents were selected. The contents were organized according to categories of the significance of AI in the diagnosis and early identification of diseases, the impact of AI on healthcare, and new AI developments for nursing.
Conclusions: The application of AI in the healthcare field reports significant benefits in efficiency, accuracy, and support to healthcare professionals, as it serves for the diagnosis and early identification of diseases. AI innovations for nursing and health sciences occur daily throughout the world.
References
Madrid C. Filosofía de la Inteligencia Artificial. Pentalfa Ediciones, Oviedo. 2024;: p. 213.
Pérez C. Revoluciones tecnológicas y capital financiero. La dinámica de las grandes burbujas financieras y las épocas de bonanza. Siglo XXI editores, México, 2004: 269 p. Disponible en: https://pegaso.com.ve/wp-content/uploads/2021/06/PerezCarlota-Revoluciones-Tecnologicas-y-Capitalfinanciero.compressed.pdf
Organización Panamericana de la Salud / Organización Mundial de la Salud. Revoluciones tecnológicas y capital financiero. Estrategia y Plan. New York: OPS-OMS, 51º Consejo Directivo. 63ª Sesión del Comité Regional.; 2017. Disponible en: https://www.paho.org/es/documentos/estrategia-plan-de-accion-sobre-e-salud.
Morgan F. Generative Artificial Intelligence Shatters Models of AI and Labor. Informe ejecutivo. Brief for the Canada House of Commons Study on the Implications of Artificial Intelligence Technologies for the Canadian Labor Force. Pittsburg: University of Pittsburgh; 2023. Disponible en: arXiv:2311.03595v1.
High-Level Expert Group on Artificial Intelligence. A definition of AI: Main Capabilities and Disciplines. Ejecutivo. Washington: High-Level Expert Group on Artificial Inteligence; 2025. Disponible en: httos://digital-strategy.ec.europa.eu/en/policies/expert-groip-ai.
González S. Regulación legal de la robótica y la inteligencia artificial: retos de futuro. Revista Jurídica de la Universidad de León. 2017; (4):25-50. DOI: https://doi.org/10.18002/rjule.v0i4.5285
El confidencial. Hawking, Musk, Wozniak y Chomsky firman una carta contra Terminator. [Online].; 2024. Available from: https://www.elconfidencial.com/tecnologia/2015-07-29/hawking-musk-wozniak-y-chomsky-firman-una-carta-contra-terminator_946547/.
Cambraia, L., Pyrrho,M., Manchola-Castillo, C. Big Data y Salud. Un analisis Bioético. Buenos Aires: Editorial Teseo; 2023. DOI: https://doi.org/10.55778/ts911693154
Roche. innovación en Inteligencia Artificial en el diagnóstico de enfermedad reumática. 2022. Disponible en: httos://www.rocheplus.es/innovacion/inteligencia-artificial/enfermedad-reumatica.html.
Hernandez Sampieri. Metodología de la investigación México: Mc Graw Hill Interamericana Editores; 2018: 714 p. Disponible en: https://bellasartes.upn.edu.co/wp-content/uploads/2024/11/METODOLOGIA-DE-LA-INVESTIGACION-Sampieri-Mendoza-2018.pdf
Matthew J. Page, Joanne E. McKenzie, Patrick M. Bossuyt, Isabelle Boutron, Tammy C. Hoffmann, Cynthia D. Mulrow, et al. Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología. 2020; 74(9): 790-799. DOI: https://doi.org/10.1016/j.recesp.2021.06.016
Curioso W, Brunette M. Inteligencia Artificial e innovación para optimizarel proceso de diagnóstico de la tuberculosis. Rev Peru Med Exp Salud Pública. 2020; 37(3): 554-558. DOI: https://doi.org/10.17843/rpmesp.2020.373.5585
Heather, S.; Hoogland, A.; Browstein, N.; Barata, A.; Dicker, A.; Knoop, H.; el al. Innovations in Research and Clinicar CAre Using Patient Generated health Data. CA Cancer J Clin. 2020; 70(3): 182-199. DOI: 10.3322/caac.21608.
Adum J, Ruiz M, Vera H, Álvarez M. Inteligencia Artificial en Medicina: presente y futuro. Reciamuc. 2024; 8(1): 166-177. DOI: https://doi.org/10.26820/reciamuc/8.(1).ene.2024.166-177
Perona G. La Inteligencia Artificial y sus beneficios en la atención a la salud. Diagnóstico. 2023; 62(4):e482 DOI: https://doi.org/10.33734/diagnostico.v62i4.482
Martínez, A.; Espinoza, M.; Gómez, K; Espinoza, M.J. Impacto de la Inteligencia Artificial en ciencias de la salud: perspectivas para la enfermería. Kanyú. 2024; 2(I): 34-45. DOI: https://doi.org/10.61210/kany.v2iI.74
Mejías A, Guarate Y, Jiménez A. Revisión documental: Inteligencia Artificial en el campo de la enfermería: implicaciones en la asistencia, administración y educación. Salud, Ciencia y Tecnología. 2022; 2: 88. DOI: https://doi.org/10.56294/saludcyt202288
Cortés M. Sobre Inteligencia Artificial, enfermería, ciencias biomédicas y educación. Revista Cubana de Enfermería. 2024; 40: e6171. Disponible en https:scielo.sld.cu/scielo.php?script=sci_arttex&pid=SO864-03192024000100017
Ramírez-Pereira M, Figueredo-Borda N, Morales E. La Inteligencia Artificial en el cuidado: un reto para la Enfermería. Enfermería. 2023; 12(1): e3372. DOI: https://doi.org/10.22235/ech.v12i1.3372
Maud D, Verhoeven G, Elissen A, Metzelthin S, Ruwaard D, Mikkas M. Using MAchine learning ti assess the predictive potential of estandardized nursing data for home halthcare case-mix classification. Eur J Health Econ. 2020; 21(8): 1121-1129. DOI: https://doi.org/10.1007/s10198-020-01213-9
Damiani, G.; Altamura, G.; Zedda, M.; Nurchis, M.; Aulino, G.; Alizadeh, H. et al. Potentiality of algorithms and artificial intelligence adoption to improve medication management in primary care: a systematic review. BMJ Open. 2023;13 (3): e065301. DOI: https://doi.org/10.1136/bmjopen-2022-065301
Espín, A.; Mas, M.; Rea, M.; López, S. Tecnología aplicada al cuidado de enfermería: wereables, apps y robótica. RCIM. 2023; 15(1): e567. Disponible en: https://revinformatica.sld.cu/index.php/rcim/article/view/567
Johanson M. Care Robot Orientation: What, Who and How? Potential Users Perceptions. International Journal of Social Robotics. 2020; 12. DOI: https://doi.org/10.1007/s12369-020-00619-y
Rexford M, Balazinska M, Culler D, Wing J. Enabling Computer and Information Science and Engineering Research and Education in the Cloud. National Science Foundation. 2018; 23(1). DOI: https://doi.org/10.13140/RG.2.2.30487.83364
Elsevier. Consulta inmediata a taxonomías NANDA, NIC y NOC en clinical key students. 2024. Disponible en: https://www.elsevier.com/es-es/connect/consulta-inmediata-a-taxonomias-nanda-nic-noc-en-clinicalkey-student.
Computing Community Consortium (CCC) and the Association for the Advancement of Artificial Intelligence (AAAI). A 20-Year Community Roadmap for Artificial Intelligence Research in the US, 2019. Disponible en https://cra.org/ccc/wp-content/uploads/sites/2/2019/08/Community-Roadmap-for-AI-Research.pdf
European Commision. Independent High-Level Expert Group On Artificial Intelligence, A definition of AI: Main capabilities and disciplines. 2019. Disponible en: https://www.europarl.europa.eu/cmsdata/196377/AI%20HLEG_Ethics%20Guidelines%20for%20Trustworthy%20AI.pdf.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Enfermería Investiga
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
