瘤学中的人工智能:当前的景观,挑战和未来的方向
William Lotter1,2,3, Michael J Hassett3,4,5, Nikolaus Schultz6,7
1Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Cancer discovery
|April 10, 2024
概括
瘤学中的人工智能 (AI) 正在进入临床实践. 这篇评论涵盖了AI.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 临床翻译 临床翻译
背景情况:
- 人工智能 (AI) 在瘤学领域正在迅速发展.
- 应用程序正在成熟,从研究到临床整合.
研究的目的:
- 审查人工智能在瘤学的现状,重点关注临床整合.
- 根据癌症类型和临床领域对AI应用进行结构化.
主要方法:
- 在常见癌症 (检测,诊断,治疗) 中对人工智能应用的审查.
- 分析数据模式,包括成像,基因组学和医疗记录.
主要成果:
- 人工智能应用正在被整合到癌症检测,诊断和治疗的临床实践中.
- 人工智能瘤学工具使用各种数据模式.
结论:
- 人工智能在瘤学中的整合面临挑战,但提供不断发展的解决方案.
- 未来的方向包括进一步的临床翻译和解决实施障碍.
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