Smart Surgical Systems and the Future of Minimally Invasive Interventions

Abstract

Background. Minimally invasive surgery has been progressively augmented by “smart” technologies—artificial intelligence (AI), machine learning, computer vision, augmented reality, and increasingly autonomous robotics—that aim to enhance perception, decision-making, and precision within the operating room. Collectively termed smart surgical systems, these technologies are reshaping the trajectory of minimally invasive intervention.

Objective. This narrative review surveys the current landscape of smart surgical systems, examines the evidence for intraoperative AI, augmented reality guidance, and autonomous robotics, and considers the technical, ethical, and regulatory challenges that will shape their clinical future.

Methods. We undertook a structured narrative review of peer-reviewed literature, systematic reviews, and landmark preclinical studies, prioritising high-level syntheses and primary reports of clinically relevant advances.

Results. Intraoperative AI has demonstrated promising performance in surgical-phase recognition (reported accuracy approximately 81–93%) and anatomical-structure identification (approximately 71–98%), supporting applications such as real-time anatomy delineation and intraoperative decision support. Augmented reality and image guidance increasingly overlay preoperative imaging onto the operative field. In preclinical work, the Smart Tissue Autonomous Robot (STAR) performed autonomous laparoscopic intestinal anastomosis in a porcine model, producing results comparable or superior to expert surgeons. Persistent challenges include limited and biased training data, the “black-box” nature of many models, absence of validation and regulatory frameworks, and unresolved questions of liability and accountability.

Conclusion. Smart surgical systems hold substantial promise for the next era of minimally invasive surgery, moving from task-assisting tools toward context-aware, partially autonomous platforms. Realising this potential safely will require rigorous prospective validation, transparent and interpretable models, robust regulation, and clear governance of accountability. For the foreseeable future these systems augment rather than replace the surgeon.