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Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
[HTML][HTML] A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues
In the last few years, the application of Machine Learning approaches like Deep Neural
Network (DNN) models have become more attractive in the healthcare system given the …
Network (DNN) models have become more attractive in the healthcare system given the …
Seven HCI grand challenges
This article aims to investigate the Grand Challenges which arise in the current and
emerging landscape of rapid technological evolution towards more intelligent interactive …
emerging landscape of rapid technological evolution towards more intelligent interactive …
Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images
Lung abnormalities are highly risky conditions in humans. The early diagnosis of lung
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
Forecasting models for coronavirus disease (COVID-19): a survey of the state-of-the-art
COVID-19 is a pandemic that has affected over 170 countries around the world. The number
of infected and deceased patients has been increasing at an alarming rate in almost all the …
of infected and deceased patients has been increasing at an alarming rate in almost all the …
COVID-19 open source data sets: a comprehensive survey
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
[HTML][HTML] Medical deep learning—A systematic meta-review
Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …
few years. For example, in image processing and analysis, deep learning algorithms were …
[HTML][HTML] Biomarkers of aging in frailty and age-associated disorders: State of the art and future perspective
According to the Geroscience concept that organismal aging and age-associated diseases
share the same basic molecular mechanisms, the identification of biomarkers of age that can …
share the same basic molecular mechanisms, the identification of biomarkers of age that can …