Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

HW Loh, CP Ooi, S Seoni, PD Barua, F Molinari… - Computer Methods and …, 2022 - Elsevier
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …

Machine learning applications for COVID-19 outbreak management

A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …

A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks

S Sharma, K Guleria - Procedia Computer Science, 2023 - Elsevier
Pneumonia is a viral infection which affects a significant proportion of individuals, especially
in develo** and penurious countries where contamination, overcrowded, and unsanitary …

A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images

S Sharma, K Guleria - Multimedia Tools and Applications, 2024 - Springer
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …

An optimized fuzzy deep learning model for data classification based on NSGA-II

A Yazdinejad, A Dehghantanha, RM Parizi… - Neurocomputing, 2023 - Elsevier
As a powerful paradigm, deep learning (DL) models have been used in many applications
for classification tasks in images, text, and audio. Through DL models, we can learn task …

Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images

HI Hussein, AO Mohammed, MM Hassan… - Expert Systems with …, 2023 - Elsevier
Hundreds of millions of people worldwide have recently been infected by the novel
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …

Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated …

G Celik - Applied Soft Computing, 2023 - Elsevier
Covid-19 has become a worldwide epidemic which has caused the death of millions in a
very short time. This disease, which is transmitted rapidly, has mutated and different …

A deep learning model for early prediction of pneumonia using VGG19 and neural networks

S Sharma, K Guleria - Mobile Radio Communications and 5G Networks …, 2023 - Springer
Pneumonia is a disease that can be caused by bacteria, viruses, and fungi. According to
WHO, pneumonia is responsible for 22% of all deaths of children under the age of 1–5 years …

Explainable, domain-adaptive, and federated artificial intelligence in medicine

A Chaddad, Q Lu, J Li, Y Katib, R Kateb… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in
each domain is driven by a growing body of annotated data, increased computational …

Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images

A Sharma, PK Mishra - Pattern Recognition, 2022 - Elsevier
The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …