… such technologies as machine learning and artificial intelligence. … in which machine learning
and artificial intelligence are … Methodological best practices will include external validation…

… 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. …

… roll our intelligent thoughts in action: “Success in creating Artificial Intelligence will be the …
“A year spent in Artificial Intelligence is enough to make one believe in God.” – Alan Perlis …

… (ii) Unsupervised learning (finds hidden patterns without labelled responses); (iii) Reinforcement
learning (the use of a sequence of either rewards or penalties for the action it performs, …

… to machine-learning (ML) algorithms and artificial intelligence (AI), … of algorithms underpinning
artificial intelligence—are typically … Room for improvement in practices associated with …

… “multiple sclerosis AND (artificial intelligence OR machine learning OR deep learning OR
neural networks OR random forest OR nearest neighbor OR support vector machine OR k-…

… artificial intelligence (AI) models are playing an increasingly important role in biomedical
research and clinical practice… the application of artificial intelligence and machine learning on a …

Background This review article provides an overview of artificial intelligence (AI) and
machine learning (ML) as it relates to cardiovascular health care. Methods An overview of the …

… Artificial intelligence (AI) is heralded as the most disruptive technology to health services in
… We explore how AI and its various forms, including machine learning, will challenge the way …

… thought and action. Subfields of AI can be either general focusing on perception, learning, …
classified as supervised learning, unsupervised learning, and reinforcement learning. (See …