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.
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 Repository, supported by PwC and Microsoft, is building a platform to share anonymized imaging data to help with diagnosing the disease.
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 the same technology and information as those affiliated with major research centers. “If we can figure out how to drive collaboration in healthcare, we will change the paradigm,” says Executive Director Elizabeth Estes.
For decades, the healthcare industry has lacked a long list of elements necessary to understand the nature of hundreds of rare diseases — industry cohesiveness and data transparency chief amongst them. With the help of PwC and Microsoft, one pioneering group of minds may have finally found a key part of the solution: an open-source approach to medical research.
“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 personalized medicine. The technology is there to make advances in rare disease,” says Elizabeth Estes, Open Source Imaging Consortium (OSIC) Executive Director.