[人工智能的进步,用于精确诊断和治疗血液性恶性瘤]
H X Yang1, J Xiong1, W L Zhao1
1Department of Haematology, State Key Laboratory of Medical Genomics, Shanghai Institute of Haematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi
|March 26, 2025
概括
人工智能 (AI) 提高了血液恶性瘤诊断和治疗的准确性. 然而,数据质量和模型可解释性挑战阻碍了广泛的临床使用,需要标准化数据和验证以实现未来的AI集成.
科学领域:
- 血液学 血液学 血液学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 血液性恶性瘤复杂且异质,需要精确的诊断和治疗方法.
- 人工智能 (AI) 可以提高诊断和治疗这些疾病的准确性.
研究的目的:
- 在过去五年中,审查和总结AI在血液恶性瘤诊断,治疗和预后方面的应用,好处和缺点.
- 确定人工智能在该领域实施的关键挑战和未来方向.
主要方法:
- 对过去五年内发表的研究进行了全面的文献综述.
- 对人工智能应用的分析,报告的好处,以及在血液恶性瘤中发现的局限性.
主要成果:
- 人工智能在改善血液恶性瘤的诊断和治疗准确度方面表现出有效性.
- 关键的挑战包括低质量的数据,模型可解释性差,临床翻译有限.
- 人工智能集成可以提高预后和个性化治疗.
结论:
- 人工智能对推进血液性恶性瘤护理具有重大前景.
- 解决数据质量,可解释性和临床验证对于更广泛的AI采用至关重要.
- 未来的努力应集中在标准化数据处理,整合多式联运数据和严格的临床验证上.
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