Del Ars Magna a la inteligencia artificial generativa

IF 0.2 Q4 OBSTETRICS & GYNECOLOGY
Rafael Berlanga Llavori
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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.
从大Ars Magna到生成人工智能
本文旨在介绍近年来人工智能(AI)发展的关键因素,特别是生成式人工智能。在过去的二十年里,预测性或判别性人工智能对医学产生了显著的影响,特别是在基于临床数据的病理诊断方面。现在,生成式人工智能在许多领域为我们带来了新的挑战和机遇,如个性化治疗、预防、主动行动、新的治疗技术,总的来说,拓宽了临床和生物医学研究的视野。对于这项工作,我们进行了书目研究,并将其组织为生成式人工智能在医学中的应用的主要思想。这项研究的主要结果是生成式人工智能的一系列潜在应用,这些应用正在几个医学领域启动,可能会在短期到中期引发一场医学革命。然而,还有一些主要的障碍需要克服,主要是关于这些系统的质量和准确性,以及新的自动化医疗保健系统必须尊重的隐私和道德障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Revista de Senologia y Patologia Mamaria
Revista de Senologia y Patologia Mamaria Medicine-Obstetrics and Gynecology
CiteScore
0.30
自引率
0.00%
发文量
74
审稿时长
63 days
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