人工智能基础

IF 0.2 Q4 OBSTETRICS & GYNECOLOGY
Rafael Guzmán Robles
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引用次数: 0

摘要

人工智能(AI)正在改变各行各业,医疗保健是受影响最大的行业之一。本文探讨了人工智能的基础知识,特别关注机器学习、深度学习和生成式人工智能。机器学习是人工智能的一个子集,它使系统能够识别大型数据集中的模式,并在没有明确编程的情况下随着时间的推移而改进。深度学习是一个更高级的分支领域,它使用多层神经网络来处理复杂的信息。GPT和gan等生成式人工智能的出现,扩大了人工智能自主创造新内容的潜力,改变了药物发现和个性化医疗等领域。本文还讨论了围绕人工智能使用的伦理考虑,特别是关于数据隐私、算法偏见和公平获取人工智能驱动的技术。这些考虑对于确保在医疗保健领域负责任地开发和实施人工智能至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fundamentals of artificial intelligence
Artificial Intelligence (AI) is revolutionizing various industries, with healthcare being one of the most impacted sectors. This article explores the fundamentals of AI, with a specific focus on machine learning, deep learning, and generative AI. Machine learning, a subset of AI, enables systems to identify patterns in large data sets, improving over time without being explicitly programmed. Deep learning, a more advanced subfield, uses multi-layered neural networks to process complex information. The advent of generative AI, such as GPT and GANs, has expanded the potential of AI to create new content autonomously, transforming areas like drug discovery and personalized medicine. The article also addresses the ethical considerations surrounding the use of AI, particularly concerning data privacy, algorithmic bias, and equitable access to AI-driven technologies. These considerations are essential for ensuring the responsible development and implementation of AI in healthcare.
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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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