人工智能和IBD:我们现在在哪里,未来我们将在哪里?
Mehwish Ahmed1, Molly L Stone1, Ryan W Stidham2,3,4
1Division of Gastroenterology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA.
Current gastroenterology reports
|February 27, 2024
概括
人工智能 (AI) 正在通过先进的图像分析和自然语言处理改变炎症性肠病 (IBD) 护理. 人工智能应用正在提高诊断准确度和简化临床任务,承诺在IBD管理中进行革命.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 胃肠病学 胃肠病学
背景情况:
- 人工智能 (AI) 为解决炎症性肠病 (IBD) 护理中的复杂挑战提供了巨大的潜力.
- 机器学习,计算能力和数字健康数据的进步正在推动医学领域的AI采用.
研究的目的:
- 审查对IBD人工智能应用的当前进展.
- 突出AI在图像分析,文本理解和IBD临床知识复制方面的作用.
主要方法:
- 对IBD人工智能近期发展的回顾.
- 对人工智能在内镜评分,囊内镜,肠道学和组织学中的应用进行分析.
- 在临床工作流程中检查自然语言处理 (NLP) 和大语言模型 (LLM).
主要成果:
- 人工智能成功地复制了专家内镜评分,并扩展到囊内镜,肠道学和组织学的自动解释.
- 由人工智能驱动的图像分析使新的,更细粒度的内镜评分系统成为可能.
- NLP和LLM正在降低文档负担并增强信息检索能力,有可能彻底改变IBD护理.
结论:
- 人工智能目前被部署用于提高主观IBD护理任务的专家判断.
- 未来的AI贡献可能包括新的IBD措施,先进的图像分析和潜在的护理自动化.
- 人工智能在临床实践中的实施和伦理使用是IBD管理未来的关键考虑因素.
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