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 …
Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
Machine-learning-based disease diagnosis: A comprehensive review
MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
COVID-19: a review on the novel coronavirus disease evolution, transmission, detection, control and prevention
A Sharma, I Ahmad Farouk, SK Lal - Viruses, 2021 - mdpi.com
Three major outbreaks of the coronavirus, a zoonotic virus known to cause respiratory
disease, have been reported since 2002, including SARS-CoV, MERS-CoV and the most …
disease, have been reported since 2002, including SARS-CoV, MERS-CoV and the most …
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
Applications of explainable artificial intelligence in diagnosis and surgery
In recent years, artificial intelligence (AI) has shown great promise in medicine. However,
explainability issues make AI applications in clinical usages difficult. Some research has …
explainability issues make AI applications in clinical usages difficult. Some research has …
Contrastive learning of medical visual representations from paired images and text
Learning visual representations of medical images (eg, X-rays) is core to medical image
understanding but its progress has been held back by the scarcity of human annotations …
understanding but its progress has been held back by the scarcity of human annotations …