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A Dual‑Agent Learning Framework Enables Level 3+ Autonomous Robotic Bronchoscopy

2026-02-05

Abstract excerpt

<title>Abstract</title> <p>Accuracy access to peripheral lung lesions is critical for diagnosis and treatment, yet clinical bronchoscopy remains limited by operator variability and loss of spatial accuracy during respiratory motion. Conventional navigation systems depend on preoperative maps and external tracking, which fail in the deformable and continuously moving bronchial tree. We developed a fully autonomous...

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Literature Corpus work
15a5a0d6-f29c-5507-94b9-6f378f448795
DOI
10.21203/rs.3.rs-8414938/v1
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A Dual‑Agent Learning Framework Enables Level 3+ Autonomous Robotic BronchoscopyDOI 10.21203/rs.3.rs-8414938/v1
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