A Multicenter Study in Bronchoscopy Combining Stimulated Raman Histology With Artificial Intelligence for Rapid Lung Cancer Detection
A Multicenter Study in Bronchoscopy Combining Stimulated Raman Histology With Artificial Intelligence for Rapid Lung Cancer Detection
The ON-SITE study represents a prospective, observational study focused on the training/tuning and pivotal validation of deep learning algorithms that detect cell/tissue morphology suspicious for cancer in biopsies of peripheral lung nodules/masses and mediastinal/hilar lymph nodes imaged with the NIO Laser Imaging System in the procedure room without requiring traditional sample processing.
The study includes four arms based on biopsy location and biopsy modality/tool:
Inclusion Criteria:
Exclusion Criteria:
San Diego, California 92037, United States
gcheng@ucsd.edu619-543-5840
Husta.Bryan@mayo.edu(904) 953-2861
Gustavo.CumboNacheli@corewellhealth.org616-821-8890
daniel.dacosta@nyulangone.org718-920-6441
akulian@email.unc.edu860-770-4835