Transforming Cancer Care: The Impact of AI-Driven Strategies.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Debanjan Mukherjee, Debajyoti Roy, Shubham Thakur
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引用次数: 0

Abstract

AI is a critical component in healthcare, especially in the application of precision medicine where patients' characteristics, including genetic makeup, determine the treatment options that should be implemented. AI sorts big data, predicting people's reactions to specific treatments, the right combinations of drugs, and possible side effects, therefore increasing the efficiency of the treatment process and decreasing negative outcomes. This article briefly presents the ethical issues and concerns that might arise due to the integration of AI in society, such as the privacy of data, the issues of bias in the algorithms, and the issues of interpretability of the AI systems. Nevertheless, there is no doubt that AI can bring qualitative changes in cancer care based on its potential to enhance patient prognosis and reduce health care costs, as well as become a defining feature of the standard of care.

变革癌症护理:人工智能驱动战略的影响。
人工智能是医疗保健领域的一个重要组成部分,尤其是在应用精准医疗时,患者的特征(包括基因构成)决定了应该实施的治疗方案。人工智能对大数据进行分类,预测人们对特定治疗的反应、药物的正确组合以及可能出现的副作用,从而提高治疗过程的效率,减少不良后果。本文简要介绍了人工智能融入社会后可能产生的伦理问题和担忧,如数据隐私、算法偏差问题以及人工智能系统的可解释性问题。尽管如此,毫无疑问,人工智能可以为癌症治疗带来质的变化,因为它有可能改善患者的预后,降低医疗成本,并成为医疗标准的一个决定性特征。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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