Synergies Between Robotics, AI, and Bioengineering—A Narrative Review Concerning the Future of Transplants

Abstract

The critical shortage of donor organs remains the foremost challenge in transplantation medicine. Nevertheless, advancements in robotic-assisted surgery (RAS), artificial intelligence (AI)-enhanced donor–recipient matching, and bioengineering—particularly 3D bioprinting—are revolutionizing the field. Today, RAS has evolved from an innovative technique into a reliable clinical tool, with evidence indicating that it enhances surgical precision and results in better patient outcomes. Meanwhile, AI and machine learning are advancing donor–recipient matching and allocation, producing models that offer superior predictive accuracy for graft survival compared to traditional methods. Additionally, bioengineering strategies, especially 3D bioprinting and tissue engineering, are progressing from the creation of acellular scaffolds to the development of vascularized constructs, marking a significant milestone toward functional organ replacement. Despite persistent challenges such as high costs, regulatory obstacles, new structured formation programs, and the necessity for effective vascularization in engineered tissues, the integration of these disciplines is forging a new paradigm in regenerative medicine. The primary objective of this review is to synthesize multidisciplinary innovations by leveraging clinical studies and technological assessments to delineate future directions in regenerative medicine and organ transplantation.