The Impact of Air Pollution on Respiratory Health Results: An Analysis of Asthma and COPD in a Population Study

Vyas, Narayan; P., Patange Aparna; Das, Prasenjit; Mahajan, Yash

doi:10.1109/icccis60361.2023.10425187

2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) 2023

DOI: 10.1109/icccis60361.2023.10425187

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The Impact of Air Pollution on Respiratory Health Results: An Analysis of Asthma and COPD in a Population Study

Narayan Vyas,

Patange Aparna P.,

Prasenjit Das

et al.

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2024

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Cited by 6 publications

References 13 publications

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Advanced Deep Learning Approaches for Alzheimer's Disease

Kumar,

Sharma,

Rokade

et al. 2024

Advances in Medical Technologies and Clinical Practice

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In the field of computer vision, in particular, deep learning, a cutting-edge method for machine learning, has surpassed conventional machine learning in its ability to detect intricate structures in complicated, high-dimensional data. With the advent of large-scale multi-modal neuroimaging data made possible by the fast development of neuroimaging techniques, there has been a surge of interest in using deep learning for the automated classification and early detection of Alzheimer's disease (AD). This chapter presents the results of a literature review on the topic of Alzheimer's disease diagnostic classification using deep learning methods and neuroimaging data. The authors also summarize the data sources, processing steps, training protocols, and evaluation methods to help future deep-learning studies on Alzheimer's disease researchers. There are limitations to deep learning, despite its promising performance across studies and tasks.

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Advanced Deep Learning Approaches for Alzheimer's Disease

Kumar,

Sharma,

Rokade

et al. 2024

Advances in Medical Technologies and Clinical Practice

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Advancements in Alzheimer's Diagnosis

Tomar,

Kumar,

Kate

et al. 2024

Advances in Medical Technologies and Clinical Practice

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Alzheimer's disease is a regularly occurring and devastating neurodegenerative disorder that influences hundreds of thousands of people global. Early and accurate analysis is important for powerful control and remedy of this circumstance. AI-powered diagnostic tools and software have proven promising results in improving diagnostic accuracy, as well as supplying greater available and cost-powerful strategies for screening and tracking the disease. This comprehensive exploration will discuss the current kingdom of AI-powered diagnostic gear and software for Alzheimer's disorder, which includes their development, validation, and actual-international packages. We can also cope with the potential demanding situations and limitations of that gear and provide future potentialities for this swiftly evolving discipline. This evaluation aims to offer an intensive know-how of the modern improvements in Alzheimer's prognosis and the ability impact of AI in improving the management of this debilitating situation.

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AI-Powered Paradigm Shift

Sharma,

Kumar,

Baig

et al. 2024

Advances in Medical Technologies and Clinical Practice

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Recent alarming data and projections have elevated Alzheimer's disease (AD) to the status of a silent pandemic. Researchers are now focusing on less invasive treatments due to the drawbacks of invasive methods and the ineffectiveness of clinical trials. This highlights the increasing importance of developing non-invasive methods for the early diagnosis of AD. However, computerized analysis of the massive amounts of data produced presents obstacles that might impede progress toward an early AD diagnosis. Therefore, to overcome these obstacles, combining AI with deep learning is essential. To usher in a new era of non-invasive medicine, this work seeks to investigate the present state of these methods for Alzheimer's disease diagnosis, with the hope of harnessing the power of these tools and using the mountain of non-invasive data that exists. The purpose of this study is to compile all published reports on AI-based Alzheimer's disease detection over the past few years.

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The Impact of Air Pollution on Respiratory Health Results: An Analysis of Asthma and COPD in a Population Study

Cited by 6 publications

References 13 publications

Advanced Deep Learning Approaches for Alzheimer's Disease

Advanced Deep Learning Approaches for Alzheimer's Disease

Advancements in Alzheimer's Diagnosis

AI-Powered Paradigm Shift

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