MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069294 A) filed by Malla Reddy University on June 02, 2026, for Ai-Assisted Robotic Surgical Navigation System With Real-Time Risk Analytics.
Inventors include Shravani Amar; and P. Anitha.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to an AI-assisted robotic surgical navigation system integrated with real-time risk analytics for enhancing surgical precision, patient safety, and intelligent healthcare management during robotic assisted medical procedures. The proposed system combines artificial intelligence algorithms, machine learning models, predictive analytics, robotic control mechanisms, sensor fusion technologies, and advanced imaging frameworks within a unified surgical infrastructure. The invention continuously acquires physiological information, anatomical imaging data, robotic movement metrics, and environmental monitoring parameters for generating adaptive navigation recommendations and predictive clinical insights during surgical interventions.The system incorporates intelligent robotic coordination technologies configured for optimizing instrument positioning, movement trajectories, and operational stability according to real-time anatomical conditions and procedural requirements. Predictive analytical engines continuously evaluate procedural risks, physiological abnormalities, tissue interaction patterns, and robotic operational inconsistencies for generating immediate alerts and adaptive clinical recommendations before critical failures occur. The invention further integrates cloud communication infrastructure, secure healthcare data synchronization, augmented visualization interfaces, and real-time monitoring modules for supporting collaborative surgical analysis and intelligent healthcare decision making. Additionally, the proposed framework utilizes deep learning algorithms, computer vision technologies, and intelligent monitoring systems for improving surgical accuracy, minimizing accidental tissue damage, reducing procedural complexity, and enhancing clinical efficiency during minimally invasive surgeries.
Disclaimer: Curated by HT Syndication.
