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基于MRI的放射学和前列腺癌的人工智能的进展:全面的审查和未来前景
Ahmad Chaddad1,2, Guina Tan1, Xiaojuan Liang1
1School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China.
Cancers
|August 12, 2023
概括
多参数MRI指导前列腺癌的治疗. 使用人工智能和成像数据的放射学提供了个性化诊断和治疗计划的非侵入性方法,减少了对侵入性手术的需求.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 人工智能在医学中的应用
背景情况:
- 多参数磁共振成像 (mpMRI) 是前列腺损伤评估的标准.
- 放射学提取定量成像特征用于预测建模.
- 尽量减少侵入性手术对于前列腺癌 (PCa) 管理至关重要.
研究的目的:
- 审查基于MRI的PCa放射学方面的进展.
- 探索放射学管道和影响个性化诊断的因素.
- 讨论人工智能,放射基因组学和多基因组学在PCa研究中的整合.
主要方法:
- 对基于MRI的PCa放射学最新研究的文献综述.
- 放射学管道的分析,包括特征提取和模型开发.
- 讨论人工智能 (AI) 和多omics数据的作用.
主要成果:
- 放射学显示出非侵入性PCa诊断和治疗规划的前景.
- 人工智能集成增强了预测模型的能力.
- 需要多机构数据来概括预测模型的需要得到强调.
结论:
- 基于人工智能的放射学模型是前列腺癌的有希望的临床工具.
- 需要对各种数据集进行进一步的研究,以获得强大的,可泛化的模型.
- 这种方法支持个性化医疗和改善患者的治疗结果.
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