A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
Exploring the major trends and emerging themes of artificial intelligence in the scientific leading journals amidst the COVID-19 era
Artificial intelligence (AI) has recently become the focus of academia and practitioners,
reflecting the substantial evolution of scientific production in this area, particularly during the …
reflecting the substantial evolution of scientific production in this area, particularly during the …
[HTML][HTML] Graph-based relevancy-redundancy gene selection method for cancer diagnosis
Nowadays, microarray data processing is one of the most important applications in
molecular biology for cancer diagnosis. A major task in microarray data processing is gene …
molecular biology for cancer diagnosis. A major task in microarray data processing is gene …
A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence
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 …
number of people all around the world. Fortunately, vaccines have been discovered, and …
Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Objective The persistent spread of SARS-CoV-2 makes diagnosis challenging because
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
Novel insights in spatial epidemiology utilizing explainable AI (XAI) and remote sensing
The COVID-19 pandemic has affected many aspects of human life around the world, due to
its tremendous outcomes on public health and socio-economic activities. Policy makers …
its tremendous outcomes on public health and socio-economic activities. Policy makers …
[HTML][HTML] Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
The promise of explainable ai in digital health for precision medicine: a systematic review
B Allen - Journal of Personalized Medicine, 2024 - mdpi.com
This review synthesizes the literature on explaining machine-learning models for digital
health data in precision medicine. As healthcare increasingly tailors treatments to individual …
health data in precision medicine. As healthcare increasingly tailors treatments to individual …
A soft sensor model based on CNN-BiLSTM and IHHO algorithm for Tennessee Eastman process
Y Li, T Peng, W Sun, C Ji, Y Wang, Z Tao, C Zhang… - Measurement, 2023 - Elsevier
Accurate measurement of key variables plays an important role in on-line monitoring and
control optimization of industrial processes. Soft sensor provides an effective method for …
control optimization of industrial processes. Soft sensor provides an effective method for …
Multi-class pneumonia classification using transfer deep learning methods
Pneumonia is a disease that aggravates the air sacs in one or the two lungs. The air sacs
might load up with liquid or discharge (purulent material), causing hack with mucus or …
might load up with liquid or discharge (purulent material), causing hack with mucus or …