Artificial Intelligence in Clinical Development: Opportunities, Challenges, and “Human-in-the-Loop” Oversight

As AI continues to advance, it is playing an increasing role in the clinical trial process, from initial discovery to final data analysis. By automating tasks such as protocol writing, patient recruitment, and data management, AI can optimize operations, reduce costs, and speed up the development of therapies. However, AI simultaneously presents critical challenges, including the risk of inaccurate outputs, data verification difficulties, and algorithmic bias.