Characterizing the Learning Curve of ION Robotic Bronchoscopy

Implementing the ION system demonstrates a measurable learning curve, with significant improvements in diagnostic yield and procedural efficiency observed after 40 cases have been performed. These findings underscore the importance of structured training and performance monitoring during the initial phase of adoption.

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Publication Details

Journal
Journal of Bronchology & Interventional Pulmonology
Published
2025-11-11
DOI
https://doi.org/10.1097/lbr.0000000000001043
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52
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Characterizing the Learning Curve of ION Robotic Bronchoscopy

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article

Characterizing the Learning Curve of ION Robotic Bronchoscopy

Lorenzo Spaggiari, Stefano Donghi, Luca Bertolaccini, Claudia Bardoni, Juliana Guarize
article en
1 citations

Abstract

Implementing the ION system demonstrates a measurable learning curve, with significant improvements in diagnostic yield and procedural efficiency observed after 40 cases have been performed. These findings underscore the importance of structured training and performance monitoring during the initial phase of adoption.

Journal of Bronchology & Interventional PulmonologyVol. 33(1)
University of Milan (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), European Institute of Oncology (IT)
Openalex Percentile: Top 13%
Lung Cancer Diagnosis and Treatment
1.52
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