The process of developing and introducing a novel pharmaceutical product to the market entails a comprehensive and costly endeavor, with a low success rate. Accurately predicting clinical trial outcomes is therefore essential for economic considerations in drug development. Recent advances in artificial intelligence have enabled the use of real-world data (RWD) to predict trial outcomes with increased accuracy. Companies could even use the system to buy and sell pharmaceutical companies in financial markets . This part summarizes the findings of several studies that have focused on clinical trial outcome prediction using artificial intelligence.