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 …

Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

S Huang, J Yang, S Fong, Q Zhao - Cancer letters, 2020 - Elsevier
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 …

[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 …

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 …

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 …

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 …

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 …

[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 …

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective

M Sufyan, Z Shokat, UA Ashfaq - Computers in Biology and Medicine, 2023 - Elsevier
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 …

A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans

S Sharma, G Singh, M Sharma - Computers in Biology and Medicine, 2021 - Elsevier
Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …