Automated Bronchoscopic Systems: The Future of Pulmonary Healthcare

Author(s)	Somashekharayya Hiremath
Country	United States
Abstract	The integration of robotic platforms with imaging technologies and AI algorithms through automated Bronchoscopic systems is transforming both diagnosis and therapy in pulmonary care. These systems are solving the problems of classic bronchoscopy that have limited navigation in the complex airway anatomies, as well as the operator's variability in skill and fatigue, by improving the procedural consistency and the reach and visualization. This paper provides a deep technical analysis of the current state of the art in automated Bronchoscopic systems. It focuses on their key subcomponents (robotic hardware, imaging systems, and AI-driven software) and discusses cost, training, and regulation challenges. Future directions are also outlined for improving haptic feedback, miniaturized sensors, and enhanced AI analytics. The precision and reproducibility of the automated bronchoscope can redefine the standard of care in pulmonary medicine.
Keywords	Automated Bronchoscopy, Robotics in Pulmonology, Machine Learning in Medica Robotics, AI in Healthcare, Medical Devices, Robotic Navigation, Pulmonary Diagnostics, Airway Management.
Field	Engineering
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-07-05

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International Journal For Multidisciplinary Research