The role of artificial intelligence and machine learning amid the COVID-19 pandemic: What lessons are we learning on 4IR and the sustainable development goals

D Mhlanga - International Journal of Environmental Research and …, 2022 - mdpi.com
… hand, machine learning and artificial intelligence contributed … the role played by artificial
intelligence and machine learning in … that artificial intelligence and machine learning played an …

Applied machine learning and artificial intelligence in rheumatology

M Hügle, P Omoumi, JM van Laar… - … advances in practice, 2020 - academic.oup.com
… of machine learning and its subfields of supervised learning, unsupervised learning,
reinforcement learning and deep learning… We provide an overview of current machine learning

[图书][B] Machine Learning: An Artificial Intelligence Approach, volume II

JR Anderson - 1983 - books.google.com
… This book presents tutorial overviews and a selection of works representative of the state of
the art in machine learning. It is the second basic text on this subject, following … Thanks go …

Successfully implemented artificial intelligence and machine learning applications in cardiology: state-of-the-art review

J Van den Eynde, M Lachmann, KL Laugwitz… - Trends in cardiovascular …, 2023 - Elsevier
… The omnipresence and deep impact of artificial intelligence (AI) in today's society are …
medicine with an overview of AI and machine learning (ML) algorithms that have passed the initial …

A (eye): a review of current applications of artificial intelligence and machine learning in ophthalmology

GW Armstrong, AC Lorch - International ophthalmology clinics, 2020 - journals.lww.com
… , machine learning is a specific branch of AI that uses computer algorithms capable of “learning
through the simulation of human intelligence. … to AI and machine learning, as well as an …

The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

S Michie, J Thomas, M Johnston, PM Aonghusa… - Implementation …, 2017 - Springer
… , rather than other approaches such as logic-based learning, will be most appropriate. Artificial
intelligence and machine learning have been used successfully, for example, in banking …

Machine learning: Trends, perspectives, and prospects

MI Jordan, TM Mitchell - Science, 2015 - science.org
… The study of machine learning is important both for addressing these … Machine learning has
progressed dramatically over the past … Within artificial intelligence (AI), machine learning has …

Artificial intelligence and machine learning applied at the point of care

Z Angehrn, L Haldna, AS Zandvliet… - Frontiers in …, 2020 - frontiersin.org
… opened new avenues for use of Artificial Intelligence (AI)- and Machine Learning (ML)-based
technology in medical practice. However, applications at the point of care are still scarce. …

The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use

S Zhu, M Gilbert, I Chetty, F Siddiqui - International journal of medical …, 2022 - Elsevier
Background Machine learning (ML), a type of artificial intelligence (AI) technology that uses
a data-driven approach for pattern recognition, has been shown to be beneficial for many …

Automation, machine learning, and artificial intelligence in echocardiography: a brave new world

S Gandhi, W Mosleh, J Shen, CM Chow - Echocardiography, 2018 - Wiley Online Library
Automation, machine learning, and artificial intelligence ( AI ) are changing the landscape of
echocardiography providing complimentary tools to physicians to enhance patient care. …