在瘤学中的生成人工智能
Conner Ganjavi1,2, Sam Melamed1,2, Brett Biedermann1,2
1USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine.
Current opinion in urology
|March 3, 2025
概括
生成型人工智能 (GAI) 正在改变癌症护理,从诊断到治疗和随访. 虽然GAI提高了准确性和效率,但人类监督对于瘤学安全整合至关重要.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 包括大型语言模型 (LLM) 和生成计算机视觉在内的生成人工智能 (GAI) 正在越来越多地影响癌症研究和临床实践.
- GAI的应用涵盖了癌症护理的整个连续性,从初始诊断到治疗和患者随访.
研究的目的:
- 为GAI在瘤学中的当前应用和未来潜力提供全面的审查.
- 专门研究GAI在尿道恶性瘤中的作用.
主要方法:
- 本综述综合了关于GAI在瘤学中的应用的当前文献.
- 专注于诊断,治疗和后续护理,包括尿道瘤学的具体例子.
主要成果:
- 通过多式联络数据集成和成像解释,GAI显示了改善癌症诊断的潜力.
- 在治疗中,GAI可以协助临床决策,治疗选择和患者教育.
- 在治疗后,GAI可以简化行政任务,加强后续和监测不良事件,在尿道瘤学中显著有前途的图像分析和结果研究.
结论:
- GAI集成可以提高诊断准确度,优化治疗决策,提高临床效率,从而加强患者与医生的关系.
- 尽管有好处,但GAI固有的变化性需要人类监督,专门的模型,医生培训和明确的指导方针,以便在瘤学中安全有效地实施.
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