
Clinical trials are the cornerstone of medical research, crucial for developing new treatments and therapies. However, identifying and recruiting suitable patients has always been a significant challenge. Traditional methods are often error-prone, resource-intensive, and time-consuming. With the advent of artificial intelligence (AI) and data science, these processes are undergoing a revolution, making patient identification more precise, efficient, and inclusive than