Jiménez ÁJM, Negrete IJ, Hyun JS

Language: Spanish
References: 20
Page: 139-145
PDF size: 292.35 Kb.

ABSTRACT

The artificial intelligence (AI) emerges as a transformative tool in the healthcare sector, offering innovative solutions that promise to improve the quality of care, optimize processes and facilitate diagnostics in order to make them more precise, including advanced scientific information retrieval and critical information analysis, which allows better collection, organization and analysis of large volumes of scientific data. This article explores actual applications of AI in medicine and research, analyzing its benefits, future prospects, and ethical challenges regarding its integration into the healthcare field. AI is described as an instrument that facilitates processes and optimizes time promoting other areas of knowledge, such as critical analysis and the creation of new and useful knowledge. Some of its key concepts include the natural language processing (NLP), machine learning (ML), and deep neural networks (DNN), and Prompts. These technologies allow the interpretation and extraction of relevant information from complex texts, identification of patterns and trends from previous research. Furthermore, it provides useful tools for developing research projects that offer alternatives in the Healthcare Sector for its continuous improvement.

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