人工智能在医学领域的作用

Shridula Kapa
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引用次数: 0

摘要

医疗领域的人工智能已经彻底改变了这个行业。最近,人工智能引起了医疗从业者对将创新应用于医疗保健系统的兴趣。a.i.已经将数据库作为一种变革力量,通过利用先进的算法和计算能力来改进数据库的各个方面,从而彻底改变了整个行业。背景强调,人工智能作为一种创新,有望改变医务人员管理患者、治疗和诊断患者的方式。这是一篇全面的文献综述,旨在确定医疗保健中a.i实施的相关信息来源,重点关注其优点和缺点。从材料中获得的结果提供了有关人工智能在医疗行业中使用的各种手段及其对患者护理和康复的影响的宝贵见解。研究结果表明;人工智能简化了繁琐的任务,因为它准确,提供快速的服务,能够早期发现疾病,并为患者带来积极的结果。人工智能提供实时数据,这对于以明确的目标解决患者的病情至关重要;人工智能的使用有助于减少医生的职业倦怠。人工智能的使用有助于提供精准医疗,因为它可以获取和分析大量信息。未来的方向包括实施法律框架,增强透明度和问责制,以及应对与数据标准化相关的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Artificial Intelligence in the Medical Field
The Artificial Intelligence in the medical field has revolutionized the industry. Recently, A. I. has interested medical practitioners in applying innovation to healthcare systems. A. I. has еmеrgеd as a transformative forcе, revolutionizing the industry by leveraging advanced algorithms and computing powеr to еnhancе various aspects of hеalthcarе dеlivеry. The background highlights that artificial intelligence as innovation promises to transform how medical staffs manage patients and treat and diagnose patients. This comprehensive literature review to identify the relevant sources of information on A. I implementation in healthcare, focusing on the advantages and disadvantages. The obtained results from the materials provided valuable insights into the various means A. I. is used in the medical industry and its effects on patient care and recovery. The findings indicated that; A. I. streamlines Tedious Tasks since it is accurate and gives speedy services enabling early detection of illnesses and leading to positive patient outcomes. A. I. provides Real-Time Data which is essential in addressing patients’ conditions with clear objectives; the use of A. I. improves helps to reduce Burnout in medical practitioners. The use of A. I. helps provide Precision Medicine since it can obtain and analyze large amounts of information. The future directions encompass the implementation of the legal framework, enhancing transparency and accountability, and addressing challenges related to data standardization.
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