The ERS PROFILE.net Clinical Research Collaboration Is Dedicated to the Set-Up of an Academic Network to Enhance Imaging-Based Management of Progressive Pulmonary Fibrosis
Data from the OSIC Data Repository was used to conduct this research.
AWS re:Invent
OSIC joined experts from PwC, Nuvance Health, and Memorial Sloan Kettering Cancer Center for a panel discussion about how healthcare systems are using a cloud-first
Accurate Prediction of Pulmonary Fibrosis Progression Using EfficientNet and Quantile Regression: A High Performing Approach
Data from the OSIC Data Repository was used to conduct this research.
Enhanced Imagistic Methodologies Augmenting Radiological Image Processing in Interstitial Lung Diseases
OSIC is mentioned in this research.
Artificial Intelligence and Interstitial Lung Disease, Diagnosis and Prognosis
Data from the OSIC Data Repository was used to conduct this research.
Recent Advances of Artificial Intelligence Applications in Interstitial Lung Diseases
OSIC is mentioned in this research.
Pneumonia-Oriented Deep Learning Semantic Segmentation for Chest Computed Tomography
Data from the OSIC Data Repository was used to conduct this research.
Processing and Analysis of Diagnostic Images Using Artificial Intelligence for the Estimation of Input Parameters for a Virtual Lung Simulator
Data from the OSIC Data Repository was used to conduct this research.
AI-based Model for the Automatized Quantification and Prognosis of IPF Patients
Data from the OSIC Data Repository was used to conduct this research.
In the Serial Assessment of Patients with Idiopathic Pulmonary Fibrosis, the Automated E-ILD CT Algorithm Outperforms Lung Function; a Validation Study
Data from the OSIC Data Repository was used to conduct this research.
ATS 2023 International Conference
During OSIC’s Industry Theater presentation, members discussed “Finding Meaningful Digital Biomarkers and AI for Rare Lung Disease.”
The Automated E-ILD CT Algorithm is More Prognostic than FVC in the Serial Assessment of Patients with Non-IPF Fibrostic Interstitial Lung Disease
Data from the OSIC Data Repository was used to conduct this research.
Advancing the Clinical Utility of X-Ray for Respiratory Diseases
Luca Bogoni, PhD — head of advanced research and innovation at OSIC member Carestream Health — shares his company’s reasons for supporting Project OPUS, including
Deep Transfer Learning Techniques-Based Automated Classification and Detection of Pulmonary Fibrosis from Chest CT Images
Data from the OSIC Data Repository was used to conduct this research.
A Regression-based Machine Learning Approach for the Prediction of Lung Function Decline
Data from the OSIC Data Repository was used to conduct this research.
OSIC Explores Potential for X-rays for Quantifying Respiratory Diseases
Elizabeth Estes, The Open Source Imaging Consortium (OSIC) Executive Director, discusses adding X-rays to the OSIC Data Repository and its resulting potential for quantifying respiratory
Medicom, OSIC Join Forces to Expand Access to Anonymized Clinical Data
Medicom Technologies is partnering with the Open Source Imaging Consortium (OSIC) to help continue to add anonymized, comprehensive data sets to the
The Brainomix Automated e-ILD CT Algorithm Outperforms Forced Vital Capacity in Predicting Outcomes for Patients with Idiopathic Pulmonary Fibrosis
Data from the OSIC Data Repository was used to conduct this research.
RSNA 2022
The thought-provoking symposium discussed how OSIC is “Powering Digital Imaging Biomarkers and AI for Rare Disease.”
Re-IMAGinING the Pathway for Clinical Decision Making in Rare Lung Diseases: Moving Towards a United Vision
Open Source Imaging Consortium (OSIC) Member CSL Behring hosted a symposium during the European Respiratory Society (ERS) International Congress which included presentations from several internationally
