Reyes Grangel , María Victoria Ibáñez Gual , Amelia Simó Vidal , Juan Carlos Amengual Argudo , Óscar Belmonte Fernández
{"title":"Inteligencia Artificial aplicada a los cuidados (I): origen y conceptos generales","authors":"Reyes Grangel , María Victoria Ibáñez Gual , Amelia Simó Vidal , Juan Carlos Amengual Argudo , Óscar Belmonte Fernández","doi":"10.1016/j.enfcli.2026.502486","DOIUrl":null,"url":null,"abstract":"<div><div>Since the emergence of ChatGPT in November 2022, Artificial Intelligence has gained significant popularity, extending to multiple areas of daily and professional life. However, Artificial Intelligence encompasses much more than Generative Intelligence, including techniques that allow data analysis and support decision-making, especially in contexts such as healthcare. This boom necessitates efforts to ensure transparency and explainability of the predictive models and techniques used, to build trust among the healthcare professionals who must apply them.</div><div>This article provides a summary of the main predictive Artificial Intelligence techniques applicable to the nursing care process. Data-centric methods are described (Machine Learning, Deep Neural Networks and Generative Artificial Intelligence), as well as process-centric techniques (Predictive Process Monitoring). Each technique is illustrated with practical examples from the healthcare field, with the aim of facilitating their understanding by healthcare professionals. Finally, the main limitations of these techniques and their prospects are presented.</div></div>","PeriodicalId":46453,"journal":{"name":"Enfermeria Clinica","volume":"36 3","pages":"Article 502486"},"PeriodicalIF":1.1000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Enfermeria Clinica","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1130862126000409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/11 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Since the emergence of ChatGPT in November 2022, Artificial Intelligence has gained significant popularity, extending to multiple areas of daily and professional life. However, Artificial Intelligence encompasses much more than Generative Intelligence, including techniques that allow data analysis and support decision-making, especially in contexts such as healthcare. This boom necessitates efforts to ensure transparency and explainability of the predictive models and techniques used, to build trust among the healthcare professionals who must apply them.
This article provides a summary of the main predictive Artificial Intelligence techniques applicable to the nursing care process. Data-centric methods are described (Machine Learning, Deep Neural Networks and Generative Artificial Intelligence), as well as process-centric techniques (Predictive Process Monitoring). Each technique is illustrated with practical examples from the healthcare field, with the aim of facilitating their understanding by healthcare professionals. Finally, the main limitations of these techniques and their prospects are presented.
期刊介绍:
Enfermería Clínica is a peer-reviewed scientific journal that is a useful and necessary tool for nursing professionals from the different areas of nursing (healthcare, administration, education and research) as well as for healthcare professionals involved in caring for persons, families and the community. It is the only Spanish nursing journal that mainly publishes original research. The aim of the Journal is to promote increased knowledge through the publication of original research and other studies that may help nursing professionals improve their daily practice. This objective is pursued throughout the different sections that comprise the Journal: Original Articles and Short Original Articles, Special Articles, Patient Care and Letters to the Editor. There is also an Evidence-Based Nursing section that includes comments about original articles of special interest written by experts.