Artificial intelligence (AI) is poised to revolutionize the field of tissue engineering, offering ground breaking solutions to a wide range of medical challenges. By leveraging AI’s ability to analyze vast datasets, identify patterns, and make accurate predictions, researchers are developing innovative strategies to repair and regenerate damaged tissues and organs. This review explores the potential of AI 1-3 in various aspects of tissue engineering, including scaffold design, cell culture optimization, and implant development. We delve into the use of machine learning algorithms to predict optimal scaffold parameters, enhance cell differentiation, and personalize implant design. Additionally, we discuss the role of AI in accelerating drug discovery and personalized medicine for regenerative therapies. While significant advancements have been made, challenges such as data quality, ethical considerations, and regulatory hurdles persist. However, with continued research and technological progress, AI-driven tissue engineering holds the promise of transforming the future of regenerative medicine.
Panahi et al. (Mon,) studied this question.