Clinical trials are very important for checking the safety and effectiveness of new medicines before they are allowed to be used by the general public. Traditional clinical trial methods have several problems like high costs, long periods of time, difficulty in finding enough people to take part, and complex ways of managing data. However, in recent years, Artificial Intelligence (AI) has become a big help in overcoming these problems and changing how clinical trials are done. This article talks about the different ways AI is used in clinical trials, such as improving patient recruitment, making trial planning more efficient, allowing real-time data collection, and making data analysis better. Technologies like machine learning and natural language processing help researchers find patterns, make predictions, and reach quicker decisions based on data. The article also gives real examples of how AI tools have made clinical research more efficient. Even though AI has many benefits like saving time and money, there are also worries about keeping data private, using AI ethically, and getting approval from regulators. The article also looks at these challenges and talks about the future potential of AI in making clinical trials more accurate, diverse, and focused on patients. Overall, AI is set to greatly change the clinical trial process and help develop safer and more effective drugs faster.
*L. Kavya Sri Reddy (Wed,) studied this question.