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 …

[HTML][HTML] A review of deep learning-based detection methods for COVID-19

N Subramanian, O Elharrouss, S Al-Maadeed… - Computers in Biology …, 2022 - Elsevier
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stop** the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …

Explainable AI for clinical and remote health applications: a survey on tabular and time series data

F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …

Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture

LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …

DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence

NA Wani, R Kumar, J Bedi - Computer Methods and Programs in …, 2024 - Elsevier
Abstract Background and Objective Artificial intelligence (AI) has several uses in the
healthcare industry, some of which include healthcare management, medical forecasting …

Explainable artificial intelligence methods in combating pandemics: A systematic review

F Giuste, W Shi, Y Zhu, T Naren, M Isgut… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …

Clinical and laboratory approach to diagnose COVID-19 using machine learning

K Chadaga, C Chakraborty, S Prabhu… - Interdisciplinary …, 2022 - Springer
Abstract Coronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of
acute respiratory syndrome that has had a significant influence on both economy and health …

[HTML][HTML] A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest

M Rostami, M Oussalah - Informatics in Medicine Unlocked, 2022 - Elsevier
Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …

A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence

K Chadaga, S Prabhu, V Bhat, N Sampathila… - Bioengineering, 2023 - mdpi.com
The coronavirus pandemic emerged in early 2020 and turned out to be deadly, killing a vast
number of people all around the world. Fortunately, vaccines have been discovered, and …

Diagnosing COVID-19 using artificial intelligence: A comprehensive review

VV Khanna, K Chadaga, N Sampathila… - … Modeling Analysis in …, 2022 - Springer
Abstract In early March 2020, the World Health Organization (WHO) proclaimed the novel
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …