“According to FDA, Artificial Intelligence has been broadly defined as the science and engineering of making intelligent machines, especially intelligent computer programs (McCarthy, 2007). Artificial intelligence can use different techniques, including models based on statistical analysis of data, expert systems that primarily rely on if-then statements, and machine learning.”
“There are several ways to categorize types of AI/ML. One perspective considers the level of supervision, distinguishing between supervised ML, unsupervised ML, or semi-supervised ML. Another categorization is based on different models, with well-known examples like Deep Learning or Neural Networks. Additionally, machine learning can be viewed in terms of black-box vs. white-box approaches.”
“Inspired by the notion of survival of the fittest from Darwinian evolution, Evolutionary Algorithms (EAs) form a subset of Machine Learning and serve as a powerful method for inducing classifiers.”
“With the advancement of digital technologies in healthcare, the term 'digital biomarker' has emerged. It is commonly referred to for measurable and quantifiable indicators obtained from digital sources like mobile devices, wearables, and sensors.”