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
فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
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.
کلیدواژه ها:
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