Independent Researcher, USA.
World Journal of Advanced Research and Reviews, 2025, 26(03), 445-455
Article DOI: 10.30574/wjarr.2025.26.3.2151
Received on 23 April 2025; revised on 31 May 2025; accepted on 03 June 2025
This article investigates groundbreaking applications of cloud-integrated AI robotics in healthcare and clinical research settings, highlighting their transformative impact on medical practice and scientific discovery. Through examination of real-world implementations across multiple domains, including surgical systems, disinfection robotics, telepresence platforms, and laboratory automation, the article demonstrates how the convergence of robotics, artificial intelligence, and cloud computing creates synergistic capabilities that exceed the potential of these technologies in isolation. The integration enables enhanced data sharing, collaborative learning, predictive analytics, and remote operation that collectively improve clinical outcomes, patient safety, operational efficiency, and healthcare accessibility. Additionally, the article explores emerging trends and future innovations in autonomous surgical assistants, diagnostic robotics, predictive healthcare systems, and collaborative research platforms, while acknowledging implementation challenges related to data privacy, regulatory frameworks, workflow integration, and ethical considerations that must be addressed to realize the full potential of these technologies.
Cloud-integrated robotics; Artificial intelligence; Healthcare automation; Telepresence medicine; Predictive healthcare
Preview Article PDF
Anasuya Vemuri. MedBot Cloud: Revolutionizing Healthcare and Research through Cloud-Integrated AI Robotics – Insights from Real-World Innovations. World Journal of Advanced Research and Reviews, 2025, 26(3), 445-455. Article DOI: https://doi.org/10.30574/wjarr.2025.26.3.2151