Integrating Artificial Intelligence in Medical Robotics: Current Applications, Challenges, and Future Vistas
Nandini Chaurasia
Department of Biotechnology, SR Institute of Management & Technology, Bakshi ka Talab, NH-24, Sitapur Road, Lucknow-226201, Uttar Pradesh, India.
Dhirendra Yadav
Department of Biotechnology, SR Institute of Management & Technology, Bakshi ka Talab, NH-24, Sitapur Road, Lucknow-226201, Uttar Pradesh, India.
Divyansh Bajpai
Department of Biotechnology, SR Institute of Management & Technology, Bakshi ka Talab, NH-24, Sitapur Road, Lucknow-226201, Uttar Pradesh, India.
Ritika Saxena
School of Biotechnology, IFTM University, Delhi Road, NH-24, Moradabad-244102, Uttar Pradesh, India.
Manoj Mishra
Department of Biotechnology, SR Institute of Management & Technology, Bakshi ka Talab, NH-24, Sitapur Road, Lucknow-226201, Uttar Pradesh, India.
Beer Singh
Department of Electronics and Communication Engineering, SR Institute of Management & Technology, Bakshi ka Talab, NH-24, Sitapur Road, Lucknow-226201, Uttar Pradesh, India.
Pankaj Gupta
Department of Biotechnology, SR Institute of Management & Technology, Bakshi ka Talab, NH-24, Sitapur Road, Lucknow-226201, Uttar Pradesh, India.
Sanjay Mishra
*
Department of Biotechnology, SR Institute of Management & Technology, Bakshi ka Talab, NH-24, Sitapur Road, Lucknow-226201, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
Artificial intelligence (AI) is revolutionizing medical robotics, enabling advanced diagnostic imaging, precision surgery, rehabilitation, and intelligent prosthetics. From remote operations to individualized rehabilitation and prosthetic support, AI-powered robots use technologies like computer vision, medical image analysis, haptics, and machine learning to carry out difficult activities on their own. These innovations promise safer, more efficient, and widely accessible patient care by integrating breakthroughs in robotics, medicine, materials science, and computing. However, the rapid adoption of AI in medical robotics raises significant ethical challenges. Key concerns include safeguarding patient privacy and data security, as well as addressing algorithmic bias and ensuring accountability in clinical decision-making.
Keywords: Artificial Intelligence (AI), diagnostic imaging, medical robotics, surgical automation