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Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
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
S Shamshirband, M Fathi, A Dehzangi… - Journal of Biomedical …, 2021 - Elsevier
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
C Stephanidis, G Salvendy, M Antona… - … Journal of Human …, 2019 - Taylor & Francis
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
A Bhandary, GA Prabhu, V Ra**ikanth… - Pattern Recognition …, 2020 - Elsevier
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
GR Shinde, AB Kalamkar, PN Mahalle, N Dey… - SN computer …, 2020 - Springer
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
J Shuja, E Alanazi, W Alasmary, A Alashaikh - Applied Intelligence, 2021 - Springer
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
J Egger, C Gsaxner, A Pepe, KL Pomykala… - Computer methods and …, 2022 - Elsevier
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
S Salvioli, MS Basile, L Bencivenga, S Carrino… - Ageing Research …, 2023 - Elsevier
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 …