AI News: New Consortium Takes AIM at IPF
Radiologists are teaming up to gather data on IPF, a deadly lung disease, utilizing AI to more quickly diagnose and treat those who are affected.
Crowdsourcing Data to Improve Interstitial Lung Disease Outcomes
Could a repository of anonymized CT scans and clinical information provide critical clues about rare, unclassified lung diseases? Elizabeth Estes, Executive Director of the Open
Computer Vision is Primed for Business Value
Companies across a range of industries are deploying image- and video-based artificial intelligence to improve and optimize key business processes and products. The OSIC Data
Democratizing Medicine with AI
The Open Source Image Consortium (OSIC) is working to democratize medicine by giving OSIC clinicians and members everywhere the ability to access and benefit from
Survival Analysis for Idiopathic Pulmonary Fibrosis Using CT Images and Incomplete Clinical Data
Data from the OSIC Data Repository was used to conduct this research.
A Bold Approach: Improving Rare Disease Treatment and Patient Care through Data Transparency
For decades, the healthcare industry has lacked a long list of elements necessary to understand the nature of hundreds of rare diseases — industry cohesiveness
How AI is Creating a Hopeful Future for Patients
“We have a lot of smart, motivated, dedicated people together who want to see these patients have a different path. The technology is there for
Forging a New Path to Manage Rare Diseases, Built on Cloud Technology
A discussion with the Open Source Imaging Consortium (OSIC), Microsoft and PwC: See how data and analytics, AI and cloud will reshape the future of
A Brighter Future for Medicine with Healthcare Technology
A first-of-its-kind open source medical imaging and data repository platform is highlighting new possibilities to help improve the speed and accuracy of diagnosis and help
Prediction of Pulmonary Fibrosis Progression using CNN and Regression
Data from the OSIC Data Repository was used to conduct this research.
Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction Using a Convolutional Self Attention Network
Data from the OSIC Data Repository was used to conduct this research.
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
Data from the OSIC Data Repository was used to conduct this research.
MARL: Multimodal Attentional Representation Learning for Disease Prediction
Data from the OSIC Data Repository was used to conduct this research.
OSIC Opens Large Database to Aid Research Into PF, Other ILDs
A large and multi-ethnic database, reported to be the first of its kind for rare lung diseases, is now compiling real-world clinical and imaging data
First-of-its-Kind, Global Data Repository for Interstitial Lung Diseases Launches Through Academic and Industry Collaborative
The Open Source Imaging Consortium (OSIC) today announced the launch of its global, data-rich repository of anonymized HRCT scans and clinical information regarding interstitial lung
Analysis of Idiopathic Pulmonary Fibrosis through Machine Learning Techniques
Data from the OSIC Data Repository was used to conduct this research.
Pulmonary Fibrosis Progression Prognosis Using Machine Learning
Data from the OSIC Data Repository was used to conduct this research.
Deep Learning Approach for Auto-Detecting Idiopathic Pulmonary Fibrosis Prediction
Data from the OSIC Data Repository
Prognosing Idiopathic Pulmonary Fibrosis with Machine Learning
Data from the OSIC Data Repository was used to conduct this research.
The Evolution of Computer-Based Analysis of High-Resolution CT of the Chest in Patients with IPF
OSIC is mentioned in this research.
