Artificial intelligence
Cameron Thomson, Jorge Figueras, Brian M. Grawe
Abstract
In traditional programming, humans create a program with a set of scripted rules and logic, making the problem-solving potential limited to human inputs. In contrast, artificial intelligence (AI) describes algorithms that possess the ability to “learn,” evolve, and become incrementally more optimized over time. In clinical medicine , AI has the potential to reach new, historically unachievable heights and has already been shown to outperform human intelligence in many ways. Despite its inherent complexity, researchers should embrace, not fear, the adoption of AI in clinical research . Here, we attempt to break down the knowledge gap barrier by providing an overview of basic terminology and a step-by-step guide with the goal of inspiring the adoption of AI in clinical research .