Artificial Intelligence (AI) is the “capability of a machine to imitate intelligent human behavior.”1 Similarly to humans, computers are programmed to learn from experiences.2 Traditional computer programs have specific instructions to “elicit certain behaviors from a machine based on specific inputs.” Conversely, machine learning (ML), a subset of AI, “allows for programs to learn from and react to data” without specific programming.3 ML algorithms can incorporate large amounts of disparate data that are often highly scalable. Knowledge and experience are key components in the relationship between AI and medicine.1 Natural language processing (NLP) refers to systems that can understand language as is frequently encountered by anesthesiologists and other types of physicians. It is a branch of AI that helps computers understand, interpret and manipulate human language.4 ML and NLP have some overlap as ML is often used for NLP tasks.
The more experience and knowledge...