January 2026
Intermediate to advanced
736 pages
19h 54m
English
book
Surgical Robots in Smart Hospitals
by Amit Kumar Tyagi, Khushboo Tripathi, Shrikant Tiwari, V. Hemamalini
Content preview from Surgical Robots in Smart Hospitals
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2AI-Driven IoT, Federated Learning, and Surgical Robotics: Revolutionizing Smart Healthcare
Garima Jain1*, Ankush Jain2, Amita Shukla1 and Prashant Kumar1
1Department of Computer Science and Business Systems, Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India
2Department of Computer Science and Engineering, Netaji Subhas University of Technology (NSUT), New Delhi, India
Abstract
Federated learning (FL), artificial intelligence (AI), the Internet of Things(IoT), and robotic surgery are the loudest sound device of contemporary medicine—the F-Ramed—that has the potential to raise operation security, efficiency, and precision. This chapter conveys how these technologies can transform smart healthcare systems, with emphasis on their utilities in robotically assisted surgery, remote patient monitoring, and diagnostics. While FL guarantees secure and decentralized machine learning, safeguarding patient confidentiality and regulatory compliance, AI-driven IoT aids real-time data gathering and processing, underpinning predictive healthcare solutions. Other topics covered are the advent of telesurgery and telemedicine, solutions suggested to guard data, and processes by which IoT enables intelligent technology in healthcare. Aside from discussion of barriers to mass acceptance of federated-learning-based robots and AI-powered IoT, the author also discusses concerns that related matters raise-about an integrated FL strategy coupled with blockchain protection ...
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