在干预治疗后,机器算法预测肝癌预后的研究进展
1Department of Interventional Diagnosis and Treatment, Yongzhou Central Hospital, Yongzhou Clinical College, University of South China Yongzhou 425000, Hunan, China.
American journal of cancer research
|October 17, 2024
概括
机器算法在干预治疗后预测肝癌预后方面表现有前途. 在数据整合,隐私和可解释性方面仍然存在挑战,以改善患者的治疗结果.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
背景情况:
- 肝癌的治疗已经转向了微创的干预疗法.
- 准确评估患者的反应和长期生存预测是关键的研究领域.
- 机器算法在分析临床数据以预后方面取得了重大进展.
研究的目的:
- 系统地审查机器算法的应用,以预测接受干预治疗的肝癌患者的预后.
- 分析这些算法的潜力,以支持未来的研究和临床实践.
主要方法:
- 关于机器算法 (深度学习,机器学习) 在肝癌预后中的当前文献的综述.
- 分析挑战,包括多源数据集成,数据隐私和算法可解释性.
主要成果:
- 机器算法可以使用临床数据识别肝细胞癌 (HCC) 的预后模式.
- 取得了重大进展,但在预测准确性和透明度方面仍然存在挑战.
结论:
- 机器算法有可能通过干预疗法改善肝癌预后预测.
- 需要进一步的研究来解决临床应用的数据集成,隐私和可解释性问题.
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