医疗保健领域的人工智能

Dhruvitkumar Talati
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引用次数: 0

摘要

人工智能(AI)已成为医疗保健领域的变革力量,为医学研究、诊断、治疗和病人护理的各个方面带来了革命性的变化。本文概述了人工智能在医疗保健领域的最新发展和应用,强调了其在提高医疗实践的效率、准确性和可及性方面的潜力。机器学习算法、自然语言处理和计算机视觉技术的整合使人工智能系统能够分析大量医疗数据、支持临床决策和个性化治疗方案。此外,人工智能技术在预测分析、早期疾病检测和优化医疗保健工作流程方面也发挥着至关重要的作用。尽管取得了可喜的进步,但要充分利用人工智能在医疗保健领域的优势,还需要解决与数据隐私、伦理考虑和监管框架有关的挑战。
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AI in healthcare domain
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare domain, revolutionizing various aspects of medical research, diagnostics, treatment, and patient care. This paper provides an overview of recent developments and applications of AI in healthcare, highlighting its potential to enhance efficiency, accuracy, and accessibility in medical practices. The integration of machine learning algorithms, natural language processing, and computer vision techniques has enabled AI systems to analyze vast amounts of medical data, support clinical decision-making, and personalize treatment plans. Additionally, AI-powered technologies play a crucial role in predictive analytics, early disease detection, and the optimization of healthcare workflows. Despite the promising advancements, challenges related to data privacy, ethical considerations, and regulatory frameworks need to be addressed to fully harness the benefits of AI in healthcare.
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