ABSTRACT:
The integration of artificial intelligence (AI) with robotic-assisted minimally invasive surgery marks a transformative leap in surgical practice. Recent systematic reviews and meta-analyses demonstrate that AI-assisted robotic surgeries achieve up to a 25% reduction in operative time, a 30% decrease in complications, and a 40% improvement in precision compared to conventional methods. AI-driven innovations—including deep learning, computer vision, and real-time analytics—enable enhanced intraoperative guidance, automated surgical step recognition, and improved workflow efficiency. Clinical applications span oncology, urology, orthopaedics, and cardiovascular surgery, with evidence of improved targeting accuracy, reduced blood loss, and shorter recovery times. Despite these advances, challenges remain in algorithm generalization, data sharing, regulatory oversight, and ethical considerations. Ongoing research and interdisciplinary collaboration are essential to realize the full potential of AI-enhanced robotic surgery, ensuring safer, more effective, and accessible surgical care worldwide.
Cite this article:
M. Sankaraselvi; AI-Enhanced Robotic Surgery: Current Advancements in Precision, Autonomy, and Clinical Outcomes for Minimally Invasive Procedures. A and V Pub Journal of Nursing and Medical Research. 2026;5(1):40-2. doi: 10.52711/jnmr.2026.09
Cite(Electronic):
M. Sankaraselvi; AI-Enhanced Robotic Surgery: Current Advancements in Precision, Autonomy, and Clinical Outcomes for Minimally Invasive Procedures. A and V Pub Journal of Nursing and Medical Research. 2026;5(1):40-2. doi: 10.52711/jnmr.2026.09 Available on: https://jnmronline.com/AbstractView.aspx?PID=2026-5-1-9
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