Advanced Materials and AI Integration in Surgical Robotics: A Systematic Review of Functional Integration and Clinical Impact

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 45

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شناسه ملی سند علمی:

IMES19_088

تاریخ نمایه سازی: 26 شهریور 1405

چکیده مقاله:

This study provides a comprehensive review of artificial intelligence integration in robotic surgery, focusing on advancements in materials engineering, computer vision, machine learning, reinforcement learning, natural language processing, and decision-support systems. Through a structured analysis of recent literature, the study highlights how AI enhances surgical precision, autonomy, and intraoperative decision-making. Evidence from clinical trials demonstrates reductions in operative time, complications, and recovery duration. Despite these benefits, challenges remain regarding ethical accountability, data security, and equitable access. Overall, AI-driven robotic surgery represents a significant step toward safer, more efficient, and increasingly autonomous surgical practice.

نویسندگان

Mohammad Kafashha

Department of Mechanical Engineering, NT.C., Islamic Azad University, Tehran, Iran

Adel Mohammadi

Department of Electrical Engineering, NT.C., Islamic Azad University, Tehran, Iran

Shahram Mahboubizadeh

Department of Materials Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran