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人工智能在胃肠病学和肝病学医学影像分析中的应用潜力。

Potentials of AI in medical image analysis in Gastroenterology and Hepatology.

机构信息

Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.

Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.

出版信息

J Gastroenterol Hepatol. 2021 Jan;36(1):31-38. doi: 10.1111/jgh.15327.

Abstract

With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying possibly huge impact in the field of medicine. Gastroenterology and hepatology, being a specialty relying much on diagnostic imaging, endoscopy, and histopathology, AI technology has promised improving the quality and consistency of care to the patients. In this review, we will elucidate the development of machine learning methods, especially the visual representation mechanism in deep learning on recognition tasks. Various AI-image analysis applications in endoscopy, radiology, and pathology are covered in gastroenterology and hepatology and reveal the enormous potentials for AI in assisting diagnosis, prognosis, and treatment. We also discuss the promises as well as pitfalls for AI in medical image analysis and pointing out future research directions.

摘要

随着人工智能 (AI) 技术的进步,它带来了巨大的浪潮,可能对医学领域产生巨大的影响。胃肠病学和肝病学是一个非常依赖诊断成像、内窥镜检查和组织病理学的专业,人工智能技术有望提高患者护理的质量和一致性。在这篇综述中,我们将阐述机器学习方法的发展,特别是深度学习在识别任务中的视觉表示机制。涵盖了胃肠病学和肝病学中内窥镜、放射学和病理学中的各种 AI 图像分析应用,并揭示了人工智能在辅助诊断、预后和治疗方面的巨大潜力。我们还讨论了人工智能在医学图像分析中的优势和陷阱,并指出了未来的研究方向。

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