周读论文系列笔记(1)-review-Artificial intelligence in healthcare

最新推荐文章于 2025-09-14 17:47:00 发布

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最新推荐文章于 2025-09-14 17:47:00 发布 · 1.3k 阅读

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本文回顾了医学中人工智能的历史，从早期的临床决策支持系统到现代的深度学习技术。重点讨论了基于图像诊断的AI在放射学、皮肤病学、眼科学和病理学的应用，如肺癌检测、皮肤癌分类、眼疾识别和病理学癌症检测。此外，还涵盖了基因组解释、生物标志物发现、临床结果预测、患者监测以及通过可穿戴设备推断健康状况等领域的进展。

第一次…不知道怎么写，好纠结(꒦_꒦)

原文链接：https://www.nature.com/articles/s41551-018-0305-z

文章目录

1.A historical overview of AI in medicine

(1)First generation of AI systems : clinical decision support systems(mid-twentieth century:)
Rule-based approaches. to interpret ECGs, diagnose diseases, choose appropriate treatments, provide interpretations of clinical reasoning and assist physicians in generating diagnostic hypotheses in complex patient cases.
(2)machine learning
(3)deep learning

2.Recent breakthroughs in AI technologies and their biomedical applications

2.1 Image-based diagnosis 基于图像的诊断

Currently, automated medical-image diagnosis is arguably the most successful domain of medical AI applications.

2.1.1 Radiology 放射学

To use medical-imaging modalities to detect and diagnose diseases.
medical-imaging modalities: X-ray radiography, computed tomography, magnetic resonance imaging(MRI) and positron-emission tomography
Radiological practice relies primarily on imaging for diagnosis.

With the help of modern machine-learning methods, many radiology applications of AI, such as the detection of lung nodules using computed tomography images(使用计算机断层扫描肺结节), the diagnosis of pulmonary tuberculosis(肺结核) and common lung diseases with chest radiography(胸部X线检查的常见肺部疾病) and breast-mass identification using mammography s

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