Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
Quo vadis artificial intelligence?
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …
engineers for over 65 years. The simple contention is that human-created machines can do …
[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Mental health is a basic need for a sustainable and developing society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …
financial burden of mental illness have increased globally, and especially in response to …
U-net and its variants for medical image segmentation: A review of theory and applications
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …
tasks. These traits provide U-net with a high utility within the medical imaging community …
Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic
W He, ZJ Zhang, W Li - International journal of information management, 2021 - Elsevier
Various technology innovations and applications have been developed to fight the
coronavirus pandemic. The pandemic also has implications for the design, development …
coronavirus pandemic. The pandemic also has implications for the design, development …
Deep learning approaches for COVID-19 detection based on chest X-ray images
COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are
also infected because of this disease. The daily life of human beings, their health, and the …
also infected because of this disease. The daily life of human beings, their health, and the …
AI for radiographic COVID-19 detection selects shortcuts over signal
Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Abstract Background and Objective The Coronavirus 2019, or shortly COVID-19, is a viral
disease that causes serious pneumonia and impacts our different body parts from mild to …
disease that causes serious pneumonia and impacts our different body parts from mild to …