AI and endoscopy/histology in UC: the rise of machine.

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

ACS Applied Electronic Materials Pub Date : 2024-10-18 eCollection Date: 2024-01-01 DOI:10.1177/17562848241275294

Olga Maria Nardone, Yasuharu Maeda, Marietta Iacucci

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引用次数: 0

Abstract

The gap between endoscopy and histology is getting closer with the introduction of sophisticated endoscopic technologies. Furthermore, unprecedented advances in artificial intelligence (AI) have enabled objective assessment of endoscopy and digital pathology, providing accurate, consistent, and reproducible evaluations of endoscopic appearance and histologic activity. These advancements result in improved disease management by predicting treatment response and long-term outcomes. AI will also support endoscopy in raising the standard of clinical trial study design by facilitating patient recruitment and improving the validity of endoscopic readings and endoscopy quality, thus overcoming the subjective variability in scoring. Accordingly, AI will be an ideal adjunct tool for enhancing, complementing, and improving our understanding of ulcerative colitis course. This review explores promising AI applications enabled by endoscopy and histology techniques. We further discuss future directions, envisioning a bright future where AI technology extends the frontiers beyond human limits and boundaries.

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UC 中的人工智能和内窥镜/组织学：机器的崛起。

随着先进内窥镜技术的引入，内窥镜检查和组织学检查之间的差距越来越小。此外，人工智能（AI）的空前发展也实现了对内窥镜和数字病理学的客观评估，为内窥镜外观和组织学活动提供了准确、一致且可重复的评估。这些进步通过预测治疗反应和长期疗效改善了疾病管理。人工智能还将通过促进患者招募、提高内窥镜读数的有效性和内窥镜检查质量，从而克服评分中的主观可变性，支持内窥镜检查提高临床试验研究设计的标准。因此，人工智能将成为加强、补充和改善我们对溃疡性结肠炎病程了解的理想辅助工具。本综述探讨了内窥镜和组织学技术带来的前景广阔的人工智能应用。我们进一步讨论了未来的发展方向，展望了人工智能技术超越人类极限和边界的美好未来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567