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对于乳腺癌管理的人工智能:概述

Harshita Gandhi¹, Kapil Kumar¹

¹School of Pharmaceutical Sciences, Apeejay Stya University, Gurugram, Haryana 122103, India.

Current drug discovery technologies

|December 4, 2023

概括

人工智能 (AI) 和机器学习 (ML) 正在彻底改变乳腺癌护理. 这些技术提供了更好的早期检测,诊断和个性化治疗,提高了患者的治疗结果.

科学领域:

在瘤学瘤学.
生物医学信息学生物医学信息学
计算生物学计算生物学

背景情况:

乳腺癌对全球健康构成重大挑战.
早期检测,准确诊断和个性化治疗对于改善患者的治疗结果至关重要.
人工智能 (AI) 和机器学习 (ML) 在乳腺癌研究和临床实践中越来越重要.

研究的目的:

突出AI和ML在促进乳腺癌研究和临床应用中的新兴作用.
提供当前AI/ML项目在乳腺癌管理中的概述.
强调AI/ML在改变乳腺癌护理方面的潜力.

主要方法:

利用各种AI和ML算法,包括深度学习,卷积神经网络 (CNN),支持矢量机 (SVM) 和决策树.
分析各种数据集,如临床记录,基因组数据和医学成像.
开发用于诊断,预后和个性化治疗计划的预测模型.

主要成果:

人工智能和机器学习正在乳腺癌管理的多个方面应用,从早期检测到药物发现.
这些技术在提高诊断的准确性和个性化治疗的有效性方面具有潜力.
目前正在进行的项目在改善乳腺癌预后和患者治疗结果方面显示出有希望的结果.

结论:

人工智能和机器学习将有望显著改变乳腺癌护理.
对乳腺癌的AI/ML的持续研究和开发有望产生更准确和个性化的诊断和治疗策略.
整合AI/ML是改善患者乳腺癌管理结果的关键.

关键词:

乳腺癌是什么? 乳腺癌是什么?人工智能的人工智能是人工智能.生物信息学是一种生物信息学.遗传突变基因突变机器学习是机器学习.辐射疗法. 辐射疗法.

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