HOLLAND, Mich., Tuesday, September 7, 2021 – 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 diseases (ILDs). This first-of-its-kind database is the world’s largest and most diverse, with a plethora of real world clinical and imaging data that is both multi-ethnic and multi-center. The OSIC Data Repository currently houses close to 1,500 anonymized and quality-controlled scans with accompanying data, and has an additional 5,000 in the quality control queue. It is on track to reach its goal of 15,000 anonymized scans, available to OSIC members, by first quarter 2022.​

HOLLAND, Mich., Tuesday, July 7, 2020 -- The Open Source Imaging Consortium (OSIC) announced today the launch of the $55,000 OSIC Pulmonary Fibrosis Progression, an AI-focused challenge to predict lung function decline in people living with pulmonary fibrosis. The competition is administered by Kaggle, the world’s largest data science community platform, and runs through October 6, 2020.

Global, Not-for-Profit, Collaborative Effort Focuses on Digital Imaging and Machine Learning to Enable Rapid Advances in the Fight against Idiopathic Pulmonary Fibrosis (IPF), Fibrosing ILDs, and Other Respiratory Diseases including Emphysematous Conditions ​

HOLLAND, Mich., Wednesday, May 22, 2019 — An international group of leading experts and advocates in the fight against idiopathic pulmonary fibrosis (IPF), fibrosing interstitial lung diseases (ILDs), and other respiratory diseases including emphysematous conditions announced today the formation of the Open Source Imaging Consortium (OSIC). This global, not-for-profit organization is a cooperative and open source effort between academia, industry and philanthropy to enable rapid advances in the detection and diagnosis of these conditions through digital imaging and machine learning.