Artificial intelligence (AI) and machine learning (ML) are easily confused, but it is crucial to recognize the fundamental difference between them. AI refers to prebuilt products that identify patterns based on human behavior around recognition and decision-making, then utilizes those patterns to enable AI-assisted platforms to answer questions, provide relevant information or perform requested tasks. ML is a subset of AI, meaning that while all ML derives from AI, not all AI is based on ML. The pharmaceutical industry has found applications for both. ML's ability to swiftly analyze vast amounts of data has greatly contributed to disease identification, leading to accelerated diagnoses and improved, life-saving outcomes. The advantages of utilizing AI and ML in clinical trials include the positive impacts of collecting trial data, improving the flow of information digitally, and utilizing high-powered wearable devices to enhance participant recruitment.