In a recent InsightsCare Health Solutions Hub article, Lisa-Jean Clifford highlights, “There has been a vast uptick in technological advancements in the laboratory industry for digital pathology and Artificial Intelligence solutions. In fact, AI is the buzzword of the day. What is the difference between algorithms, uses and accuracy?
It’s very easy to conflate the terminology and in some cases, the differences are very clear while in others the lines are a bit less distinguishable. In short, Artificial Intelligence (AI) and Machine Learning (ML) are closely related, but you can think of it more as a hierarchical relationship. They both relate to computers and programming; however, AI algorithms rely on human input and ML algorithms are taught. In other words, AI requires humans to provide inputs such as visual perception, interpretation, decision making, and results in algorithms that can make decisions based on data that they have been trained on.” (Clifford, 2023)
