通过IoMT驱动的阿尔茨海默氏症预测模型,赋予了转移学习和可解释的医疗保健人工智能方法的权力5.0
Abdul Hannan Khan1, Danish Ali2, Shakeel Ahmed3
1Department of Computer Science, Green International University, Lahore, Pakistan.
Scientific reports
|October 9, 2025
概括
这项研究引入了一个使用医疗物联网 (IoMT) 数据的AI框架,用于准确预测阿尔茨海默病. 该模型结合了转移学习和可解释的AI,实现了高准确性,并为临床信任提供了可解释的结果.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 阿尔茨海默病 (AD) 是导致痴呆的主要原因,对患者和护理人员产生重大影响.
- 目前的AD预测方法面临诸多挑战,包括高成本,有限的数据和缺乏模型可解释性.
- 医疗物联网 (IoMT) 和医疗保健5.0为以患者为中心的实时健康监测和诊断提供了新的途径.
研究的目的:
- 为早期和准确的阿尔茨海默病预测提出一个IoMT驱动的框架.
- 整合转移学习 (ResNet152) 和可解释AI (XAI) 以提高准确性和可解释性.
- 通过使用大型MRI数据集来验证框架的性能和临床相关性.
主要方法:
- 利用Kaggle阿尔茨海默氏症MRI数据集 (33,984张图像) 在四个痴呆症严重程度等级中使用.
- 为了解决阶级不平衡,采用了条件瓦瑟斯坦GAN用于合成图像生成.
- 开发了一个ResNet152-TL-XAI模型,结合Grad-CAM,SHAP和LIME进行解释.
主要成果:
- 该ResNet152-TL-XAI模型实现了高性能:97.77%的准确性,0.981精度,0.987回忆,0.983F1得分和99.13%的特异性.
- 可解释的AI方法始终确定了临床相关的大脑区域 (海马体,心室),证实了生物可信性.
- 该框架在阿尔茨海默氏症预测准确性和可解释性方面超过了现有的几种最先进的方法.
结论:
- 拟议的IoMT驱动框架为早期,准确和可解释的阿尔茨海默病病阶段测定提供了一种实际解决方案.
- 整合转移学习和多方法XAI提高了诊断透明度和临床医生的信任.
- 该框架显示了在医疗保健5.0生态系统中部署的巨大潜力,支持及时干预和患者监测.
关键词:
阿尔茨海默氏症 (AD) 是一种疾病.医疗事物的互联网 (IoMT)非传染性疾病 (NCD) 是一种非传染性疾病.其余神经网络 (ResNet) 和可解释的人工智能 (XAI).转移学习 (TL) 是指转移学习.更多相关视频
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
7.9K
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
1.3K
相关概念视频
Alzheimer's Disease: Treatment
822
Alzheimer's Disease (AD), a neurodegenerative disorder, is pathologically identified by amyloid plaques and neurofibrillary tangles composed of tau protein. AD pharmacotherapy aims to manage cognitive symptoms, delay disease progression, and treat behavioral symptoms. The treatment is primarily symptomatic and palliative, with no definitive disease-modifying therapy available. Cholinesterase inhibitors, including donepezil (Aricept), rivastigmine (Exelon), and galantamine (Razadyne), are...
822
Alzheimer's Disease: Overview
1.6K
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
1.6K
Issues And Trends In Healthcare Delivery System
6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K
