癌症中的人工智能:应用,挑战和未来的前景
Cillian H Cheng1,2, Su-Sheng Shi3,4
1Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. chenghc95@gmail.com.
Molecular cancer
|October 31, 2025
概括
人工智能 (AI) 正在改变癌症研究和个性化医学. 人工智能应用程序分析复杂的数据,以改善患者的治疗结果,并加速瘤学的发现.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
背景情况:
- 人工智能 (AI) 正在迅速推进瘤学研究和个性化医学.
- 人工智能算法,专用硬件和大规模癌症数据访问的进步推动了新的应用.
- 人工智能正在各种癌症类型和临床领域应用.
研究的目的:
- 审查人工智能在瘤学中的整合和应用.
- 突出AI在解决癌症研究中复杂挑战方面的潜力.
- 讨论人工智能在临床实践中更广泛采用的障碍.
主要方法:
- 按癌症类型和临床领域系统地组织AI应用.
- 审查示例,证明AI在阐明生物机制和预测结果的使用.
- 分析AI在解释流行病学,行为和现实世界的数据集中的作用.
主要成果:
- 人工智能应用在通过临床数据中的模式识别来改善患者的治疗结果方面表现有前途.
- 深度学习模型已经成功地解决了以前在瘤学中无法克服的挑战.
- 人工智能有助于理解复杂的生物和现实癌症数据.
结论:
- 人工智能对加速癌症研究和改善健康结果具有重大前景.
- 人工智能的伦理和科学严格的应用对其成功至关重要.
- 克服采用障碍对于实现AI在瘤学中的全部潜力至关重要.
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