European Journal of Biomedical and Pharmaceutical Sciences

SIGNIFICANT ROLE OF AI IN CLINICAL TRIALS: ENHANCING EFFICIENCY, ACCURACY, AND PATIENT OUTCOMES

Naga Manikanta Madduri*, Yash Pal and Sagarika Bandi

ABSTRACT

Artificial intelligence (AI) is revolutionizing clinical trials by enhancing efficiency, accuracy, and patient outcomes. Through advanced algorithms, AI optimizes trial design, accelerates patient recruitment, and improves data management. AI-driven predictive models enable better selection of trial candidates by analyzing complex data from medical records, genetic profiles, and lifestyle factors. In drug discovery, AI expedites target identification and reduces the time needed for clinical trial phases. Machine learning algorithms can detect patterns in large datasets, improving the accuracy of trial results and minimizing errors. AI tools, such as natural language processing, streamline data collection and analysis, while wearable devices integrated with AI provide real-time patient monitoring, ensuring better adherence and safety oversight. Moreover, AI facilitates adaptive trial designs that adjust in real-time based on patient responses, enhancing personalized treatment strategies. As AI continues to evolve, it holds the potential to significantly transform clinical trials, leading to faster, more accurate, and patient-centered research outcomes.

Keywords: Artificial intelligence, Clinical trials, Clinical data management.