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Related Experiment Video

Updated: Jul 6, 2025

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy

Published on: July 19, 2024

AI co-pilot bronchoscope robot.

Jingyu Zhang^1,2, Lilu Liu^1,2, Pingyu Xiang^1,2

¹State Key Laboratory of Industrial Control and Technology, Zhejiang University, 310027, Hangzhou, China.

Nature Communications

|January 3, 2024

Summary

This summary is machine-generated.

An AI co-pilot bronchoscope robot enables novice doctors to perform lung examinations safely. This innovation addresses medical resource disparities, bringing expert-level bronchoscopy to underserved regions.

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Area of Science:

Medical Technology
Artificial Intelligence in Medicine
Pulmonology

Background:

Bronchoscopy access is limited in underdeveloped areas due to unequal resource distribution and a scarcity of experienced practitioners.
This disparity hinders the availability of essential bronchoscopic services in regions with the greatest need.
Bridging this gap is crucial for equitable healthcare delivery.

Purpose of the Study:

To develop and evaluate an artificial intelligence (AI) co-pilot bronchoscope robot system.
To empower novice doctors to perform lung examinations with the safety and skill of experienced practitioners.
To enhance access to bronchoscopic services in resource-limited settings.

Main Methods:

Development of a robot-assisted steering system with a user-friendly, plug-and-play catheter for deep bronchial access.
Implementation of an AI-human shared control algorithm trained on historical data and expert imitation.
In vitro and in vivo testing to assess the system's performance and safety in enabling novice users.

Main Results:

The AI co-pilot system successfully facilitated robot-assisted steering, enabling access to bronchi beyond the fifth generation.
Novice doctors using the AI system demonstrated safe steering capabilities, mitigating misoperations during lung examinations.
Both in vitro and in vivo results confirmed that the system equipped novice doctors to perform lung examinations expertly.

Conclusions:

The AI co-pilot bronchoscope robot significantly enhances the capabilities of novice doctors in performing lung examinations.
This technology offers a viable solution to overcome medical resource disparities and improve access to bronchoscopy.
The study presents innovative strategies for AI-assisted healthcare delivery in underserved regions.