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A Machine Learning System to Indicate Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases

4/17/2024

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON AJRCCM

Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging

4/5/2024

 
OSIC is mentioned in this research.
READ MORE ON CUREUS

ASPPH 2024 Annual Meeting

3/22/2024

 
​Executive Director Elizabeth Estes and Pam Factor-Litvak, PhD, associate dean for research resources at Columbia University Mailman School of Public Health, discussed “Open-Source as a Model to Advance Public Health Research.”
Read More

Rare Disease Summit 2024

3/20/2024

 
Executive Director Elizabeth Estes, Melissa Leichter of Novo Nordisk, and Panna Sharma of Lantern Pharma Inc. discussed the potential of using AI and machine learning to treat rare diseases.
Read More

Enhanced Multimodal Timely Prediction of Pulmonary Fibrosis Progression with Uncertainty Estimation from Chest CT Images and Clinical Metadata

2/28/2024

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON INSTICC

Lung Parenchyma Segmentation Based on U-Net Fused With Shape Stream

2/13/2024

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON IEEE XPLORE

Application of Neural-Controlled Differential Equations in Disease Progression Modeling Using Irregularly Sampled Multimodal Data

1/16/2024

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON IEEE XPLORE

Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder–Decoder Network With Invertible Modeling

1/1/2024

 
OSIC is mentioned in this research.
READ MORE ON IEEE XPLORE

A Bayesian Neural Network-Based Method For The Extraction Of A Metabolite Corrected Arterial Input Function From Dynamic [11C]PBR28 PET

12/13/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON IEEE XPLORE

Neural Network Based Methods for the Survival Analysis of Idiopathic Pulmonary Fibrosis Patients from a Baseline CT Acquisition

12/13/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON IEEE XPLORE

Idiopathic Pulmonary fibrosis prognosis

12/11/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON AIP

Sharing Data Is Essential for the Future of AI in Medical Imaging

11/29/2023

 
OSIC is mentioned in this research.
READ MORE ON RADIOLOGY: ARTIFICIAL INTELLIGENCE

Lung Modelling Congress 2023

11/22/2023

 
OSIC shared its expertise as part of a session that discussed “Leveling the Playing Field: How Imaging, AI & an Infinite Mindset Can Transform the Care of Patients with Rare Disease.”
Read More

Prevent Cancer Foundation’s Quantitative Imaging Workshop (QIW) XX

11/2/2023

 
OSIC discussed “Using Large, Longitudinal Databases To Predict Status Of Disease Processes,” along with panelists from Columbia University; National Lung and Heart Institute / Imperial College London; and Massachusetts General Hospital  / Harvard Medical School.
Read More

Recent Advancements in Computed Tomography Assessment of Fibrotic Interstitial Lung Diseases

11/1/2023

 
OSIC is mentioned in this research.
READ MORE ON JOURNAL OF THORACIC IMAGING

Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis

11/1/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON RESPIRATORY MEDICINE

Longitudinal changes in CT quantified pulmonary artery volume and interstitial abnormalities correlate with pulmonary function decline in IPF patients

10/27/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON ERJ

A deep learning algorithm for predicting disease progression in idiopathic pulmonary fibrosis

10/27/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON ERJ

The automated e-Lung CT algorithm is more prognostic than lung function in patients with non IPF fibrotic ILD; a validation study

10/27/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON ERJ

Novel e-Lung CT biomarkers combine to provide higher prognostic discrimination than FVC in patients with non-IPF fibrotic interstitial lung disease

10/27/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON ERJ

Deep learning-based quantification of traction bronchiectasis severity for predicting outcome in idiopathic pulmonary fibrosis

10/27/2023

 
OSIC is mentioned in this research.
READ MORE ON ERJ

Shaping the Future in Rare Lung Diseases: From Imaging to Patient Management

10/24/2023

 
OSIC is mentioned in this research.
READ MORE ON EMJ RESPIRATORY

Surface Projection of CT Reconstructed Lung Volume for Regional Lung Mechanics Estimation: A Preliminary Analysis

10/1/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON IFAC

Computer-Aided Pulmonary Fibrosis Detection Leveraging an Advanced Artificial Intelligence Triage and Notification Software

9/30/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON JOURNAL OF CLINICAL MEDICINE RESEARCH

Segmentation of Cardiac Tissue in CT for Coronary Artery Disease Screening

9/25/2023

 
Data from the OSIC Data Repository was used to conduct this research.
READ MORE ON UNIVERSIDADE DO PORTO
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