{"title":"Del Ars Magna a la inteligencia artificial generativa","authors":"Rafael Berlanga Llavori","doi":"10.1016/j.senol.2024.100663","DOIUrl":null,"url":null,"abstract":"<div><div>This article aims to present the key elements in the evolution of Artificial Intelligence (AI) in recent years, especially Generative Artificial Intelligence. Predictive or discriminative AI has had a notable impact on medicine in the last two decades, especially in the diagnosis of pathologies based on clinical data. Now, generative AI leads us to new challenges and opportunities in numerous fields such as personalised treatment, prevention, pro-action, new therapeutic techniques and, in general, the broadening of the horizons of clinical and biomedical research. For this work, we have carried out a bibliographic study and organised it into the main ideas for the application of generative AI to medicine. The main result of this study is a set of potential applications of generative AI that are being initiated in several areas of medicine and that may lead to a revolution in medicine in the short to mid-term. However, there are major hurdles to overcome, mainly those concerning the quality and accuracy of these systems, as well as the privacy and ethical barriers that must be respected by the new automated healthcare systems.</div></div>","PeriodicalId":38058,"journal":{"name":"Revista de Senologia y Patologia Mamaria","volume":"38 3","pages":"Article 100663"},"PeriodicalIF":0.3000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de Senologia y Patologia Mamaria","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0214158224000914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This article aims to present the key elements in the evolution of Artificial Intelligence (AI) in recent years, especially Generative Artificial Intelligence. Predictive or discriminative AI has had a notable impact on medicine in the last two decades, especially in the diagnosis of pathologies based on clinical data. Now, generative AI leads us to new challenges and opportunities in numerous fields such as personalised treatment, prevention, pro-action, new therapeutic techniques and, in general, the broadening of the horizons of clinical and biomedical research. For this work, we have carried out a bibliographic study and organised it into the main ideas for the application of generative AI to medicine. The main result of this study is a set of potential applications of generative AI that are being initiated in several areas of medicine and that may lead to a revolution in medicine in the short to mid-term. However, there are major hurdles to overcome, mainly those concerning the quality and accuracy of these systems, as well as the privacy and ethical barriers that must be respected by the new automated healthcare systems.