Artificial Intelligence (AI): An umbrella term for technology that can simulate human intelligence.

Artificial Neural Networks (ANN): Inspired by biological neural networks, these frameworks have only a few layers but can create outputs with less human intervention than traditional ML algorithms. 

Augmented Intelligence (AuI): AI that aids in human decision-making rather than replacing it.

Algorithm: Related to mathematical operations, algorithms follow a set of rules to achieve a task. 

Automation Bias: Occurs when clinicians have more trust in the diagnostic capacity of technology than their own clinical judgment.

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 Dataset: A collection of samples and labels that can be divided into categories like training data, test data, etc. 

Machine Learning (ML): ML is a subcategory of AI that uses algorithms and datasets to learn similar to humans.

Electronic medical record (EMR): A digital version of the paper charts in the clinician’s office. An EMR contains the medical and treatment history of each patient in the practice.

Patient monitoring technologies: Generally wireless devices monitor variables such as patient position, movement, and skin temperature. They may also feature auditory cures, alerting patients and caregivers that the patient needs to be repositioned. 

Turing Test: Developed by mathematician Allan Turing in 1950, this test was proposed to determine whether a computer shows human intelligence.