T Shaik, X Tao, N Higgins, L Li… - … : Data Mining and …, 2023 - Wiley Online Library
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to …
M Cui, DY Zhang - Laboratory Investigation, 2021 - Elsevier
Data processing and learning has become a spearhead for the advancement of medicine, with pathology and laboratory medicine has no exception. The incorporation of scientific …
The Internet of Things (IoT) is a system of wireless, interrelated, and connected digital devices that can collect, send, and store data over a network without requiring human-to …
A Bohr, K Memarzadeh - Artificial Intelligence in healthcare, 2020 - Elsevier
Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people …
P Schneider, WP Walters, AT Plowright… - Nature reviews drug …, 2020 - nature.com
Artificial intelligence (AI) tools are increasingly being applied in drug discovery. While some protagonists point to vast opportunities potentially offered by such tools, others remain …
Abstract Purpose of Review Artificial intelligence (AI) technology holds both great promise to transform mental healthcare and potential pitfalls. This article provides an overview of AI and …
This article explores the ways artificial intelligence (AI) may impact new venture processes, practices and outcomes. We examine how such technology will augment and replace tasks …
CY Chang, GJ Hwang, ML Gau - British Journal of Educational …, 2022 - Wiley Online Library
The aims of nursing training include not only mastering skills but also fostering the competence to make decisions for problem solving. In prenatal education, cultivating nurses' …
This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in …