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AI-Driven Robotics has Optimized Motion Control, Decision-Making, and Real-Time Adaptability in Minimally Invasive Surgeries: A Systematic Review

2026/01/31 by Mary Little Flower Thomas, S. Christopher Ezhil Singh, Glan Devadhas George +6 · 1 voice
Medicine · Engineering · #Surgical Simulation and Training #Soft Robotics and Applications #Minimally Invasive Surgical Techniques

paper · doi:10.70389/pjs.100252

openalex publication_date 2026/01/31 · openalex created_date 2026/02/13 · openalex updated_date 2026/07/22

Abstract

Artificial intelligence (AI) and robotics have transformed patient treatment, diagnosis, surgical intervention, and the health industry. Robotic-assisted devices enhance procedural success, minimize recovery times, and maximize surgical precision. Motion control, decision-making, and real-time responsiveness in minimally invasive surgery have all been enhanced by the application of AI-based automation. Teleoperated robotic devices have enhanced access to specialist medical information through remote operation and expanded access to healthcare. In addition to these innovations, exorbitant costs, training, ethics, and cybersecurity issues continue to hamper developers from mass applications. These concerns must be addressed to ensure the safe, effective, and ethical use of robotic healthcare systems. To improve surgical performance, future research should focus on creating affordable alternatives, improving robotic dexterity, and integrating AI-based decision support. Robotic healthcare technologies will revolutionize healthcare delivery worldwide with future developments, improving the precision, accessibility, and efficiency of advanced medical interventions in the future.

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