通过人工智能彻底改变胃肠道学和肝病学:通过跨学科的实践,从精确诊断到公平的医疗保健
Zhi-Li Chen1,2, Chao Wang1,2,3, Fang Wang1,2,4
1Department of Pathogen Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, Jilin Province, China.
World journal of gastroenterology
|July 2, 2025
概括
人工智能 (AI) 正在通过早期疾病检测和个性化治疗的先进工具彻底改变消化健康. 数据和伦理方面的挑战仍然存在,但诸如多中心数据库和可解释的人工智能等解决方案有望得到更广泛的采用.
科学领域:
- 胃肠病学和肝病学
- 医疗人工智能 医疗人工智能
- 数字健康数字健康
背景情况:
- 人工智能 (AI) 正在改变胃肠病学和肝病学.
- 人工智能为疾病查,诊断,治疗和预后提供先进的工具.
研究的目的:
- 审查人工智能在消化健康中的当前应用和未来潜力.
- 确定挑战,并为人工智能实施提出缓解策略.
主要方法:
- 深度学习,放射学和多式联网数据集成用于诊断平价.
- 分析AI在内镜图像分析和非侵入性肝病理评估中的实用性.
- 对人工智能在个性化护理中对肝细胞癌和炎症性肠道疾病等疾病的评估.
主要成果:
- 人工智能在内镜图像分析和肝脏病理评估方面与专家实现了诊断平价.
- 人工智能在预测疾病复发和优化治疗反应方面表现出实用性.
- 挑战包括有限的模型概括,对罕见疾病的数据稀缺以及道德问题.
结论:
- 标准化数据库,前性验证,联合学习和可解释的AI是关键的缓解策略.
- 整合生成性人工智能,数字双胞胎和统一的伦理框架将加速采用.
- 跨学科的合作对于实现AI在精密消化护理和医疗保健公平方面的潜力至关重要.
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