儿童脏病学中的人工智能:当前的应用和新兴的证据生成框架
Giovanni Pellegrino1, Giovanni F M Strippoli2,3
1Department of Precision and Regenerative Medicine and Ionian Area (DIMEPRE-J), University of Bari Aldo Moro, Bari, Italy.
Pediatric nephrology (Berlin, Germany)
|February 25, 2026
概括
人工智能 (AI) 通过解决小患者群体和罕见疾病等挑战,为改善儿科病学研究提供了新的途径. 人工智能可以提高诊断,预测结果,并为患有脏疾病的儿童个性化治疗.
科学领域:
- 儿科脏病学 儿科脏病学
- 医疗人工智能 医疗人工智能
背景情况:
- 由于罕见疾病,小患者队伍和道德考虑,儿科脏病学面临研究障碍.
- 传统的临床试验对于儿科脏疾病往往是不切实际的,导致证据缺陷.
研究的目的:
- 审查当前和新兴的人工智能 (AI) 在儿科脏病学中的应用.
- 探索人工智能如何克服该领域传统研究的局限性.
- 讨论未来的人工智能驱动的研究框架,包括虚拟试验和数字双胞胎.
主要方法:
- 人工智能应用在儿科脏病学中的叙述性综述.
- 整合了从更广泛的脏学研究中对现实世界数据和数字双胞胎的见解.
- 专注于各种儿科病的既定和短期应用.
主要成果:
- 人工智能为诊断,预后,成像分析和治疗个性化提供了互补的方法.
- 人工智能可以帮助产生新的证据框架,特别是对于罕见的儿科脏疾病.
- 在慢性脏病,透析,移植,成像,病理学和基因组学中存在着成熟的应用.
结论:
- 人工智能是儿童脏病学中传统临床研究的宝贵补充.
- 人工智能对提高儿童证据生成的准确性,包容性和及时性具有重大承诺.
- 对于人工智能实施,必须考虑特定于儿科患者群体的伦理,监管和公平考虑.
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