The American College of Radiology (ACR) Data Science Institute (DSI) has launched the ACR AI-LAB, a free software platform that will help radiologists collaborate to create, validate and use AI.
Using the free, vendor-neutral framework, radiologists can educate themselves on AI, add to datasets, share algorithms, develop and evaluate AI models and address local clinical needs, according to a prepared statement from the ACR. The AI-LAB will also support future FDA initiatives that involve real-world data for creating machine learning algorithms.
“Acquiring the necessary large amounts of patient data for algorithm training has been a huge problem for developers up to this point,” said Keith Dreyer, DO, PhD, ACR DSI chief science officer, in the statement. “Consequently, AI has been slow to develop and has not spread widely to improve patient care. Enabling radiologists to develop AI on-premises, at their own institutions, will unlock massively larger data stores available for the development of AI. This will rapidly expand the AI solutions available to us all.”
The ACR also announced that it is partnering with GE Healthcare to integrate the company’s Edison platform with the ACR AI-LAB. Edison tracks the source and usage of data in AI creation and will simplify radiologists’ ability to create, validate and deploy algorithms, according to a news release.
“Edison provides clinicians with an integrated digital platform, combining diverse data sets from across modalities, vendors, healthcare networks and life sciences settings,” said Kieran Murphy, president and CEO of GE Healthcare, in the same release. “Algorithms built on Edison by our ACR colleagues will include the latest data processing technologies to enable clinicians to make faster, more informed decisions to improve patient outcomes.”