Unlocking the full potential of healthcare with artificial intelligence - Amaris Consulting

As the amount of available real-world data continues to increase, sophisticated methods to analyze large quantities of healthcare data are gaining traction, paving the way for personalized care and treatments. What are these innovative methods, how are they used, and why go beyond traditional data analysis techniques? Let's begin by defining some key terms that are frequently used to analyze real-world data. Artificial Intelligence (AI) covers a wide range of processes that allow computers to perform tasks that generally require human intelligence, such as visual perception, decision-making, and speech recognition. Machine learning (ML) is a subset of AI. It refers to algorithms that are able to make predictions or decisions with ever-increasing accuracy through experience and data analysis.