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Classification of Illness

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...

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Updated: Jul 25, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

使用基于眼睛图像的AI算法诊断系统性疾病.

Huimin Li¹, Jing Cao¹, Andrzej Grzybowski²

¹Eye Center, The Second Affiliated Hospital School of Medicine Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou 310009, China.

Healthcare (Basel, Switzerland)

|June 28, 2023

概括

人工智能 (AI) 分析眼睛图像以检测系统性疾病,如心血管问题和痴呆症. 这项技术提供了一个有希望的,可访问的选工具,特别是在资源有限的环境中.

关键词:

人工智能的人工智能是人工智能.心血管疾病心血管疾病慢性脏疾病慢性脏疾病深度学习是一种深度学习.机器学习是机器学习.神经退行性疾病的神经退行性疾病眼镜图像眼镜图像眼镜图像系统性疾病是一种系统性疾病.

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科学领域:

眼科医生眼科眼科
医疗成像医学成像
人工智能的人工智能

背景情况:

眼睛的独特结构与全身健康有关.
人工智能 (AI) 正在彻底改变医学诊断.
眼镜成像为系统性疾病提供了一个非侵入性的窗口.

研究的目的:

通过使用眼镜图像,审查人工智能在预测系统性疾病中的应用.
突出AI在眼科中的潜力,以进行更广泛的健康查.
讨论这个领域当前的挑战和未来的前景.

主要方法:

对人工智能和眼部成像用于系统性疾病预测的当前文献的综述.
对专注于心血管疾病,痴呆症,慢性病和贫血的研究进行分析.
对人工智能驱动的眼科诊断的有效性和局限性的研究结果的综合.

主要成果:

人工智能模型展示了从眼睛图像中识别系统性疾病的潜力.
具体的例子包括预测心血管疾病风险和检测痴呆症的迹象.
这项技术在贫血和慢性病检测方面表现有前途.

结论:

人工智能驱动的眼睛图像分析是系统性疾病查的可行策略.
这种方法可以提高早期检测,特别是在服务不足的地区.
需要进一步的研究来解决当前的局限性,并优化AI算法.