ACR engages in collaborations for AI development with launch of AI-LAB platform

ACR engages in collaborations for AI development with launch of AI-LAB platform

John R. Fischer, Senior Reporter | April 09, 2019
Artificial Intelligence
The American College of Radiology has struck up a number of collaborations following the launch of its Data Science Institute ACR AI-LAB platform, a software program that enables radiologists of all levels to develop, validate and use artificial intelligence tools within their own facilities for their local clinical needs.

Among its collaborators are Nvidia, GE and Nuance, all of which plan to integrate their own solutions with the vendor-neutral platform to help accelerate the process for creating algorithms and expand the reach of ACR AI-LAB to a greater number of providers.

“Right now, AI for radiology is being driven by research that is happening primarily at institutions with extensive informatics and data science resources, and primarily using single institution patient data. Most radiologists – who do not have the data science training to master AI programming – are unable to participate,” Bibb Allen Jr., M.D., FACR, ACR DSI chief medical officer, told HCB News. “ACR AI-LAB is designed for radiologists with minimal programming experience to use their domain expertise to develop AI tools to improve the care they provide their patients.”

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A free, open-source software platform, ACR AI-LAB will be accessible among more than 38,000 ACR members and other radiology professionals to build, share, locally adapt and validate AI algorithms, while preserving the protection of patient data at local institutions.

A part of its NVIDIA Clara Developer platform, the NVIDIA Clara AI toolkit is one such solution that will be integrated with the AI-LAB, providing libraries for data annotation, model training, adaptation and federation, and large-scale deployment. Its pairing with the software follows a three-month pilot program that helped both ACR and NVIDIA determine the requirements and direction that would enable facilities to work together and with other industry stakeholders to refine AI algorithms without sharing potentially sensitive patient data.

Another integrated technology is GE Healthcare’s Edison AI platform, which is powered by the NVIDIA Clara and allows its users to trace data as they develop an algorithm, an asset which could help ACR members simplify their creation of compliant AI applications. It also enables radiologists to combine multiparametric data sets and clinical information from the EHR to form more accurate algorithms. By integrating with the ACR AI-LAB, the solution will allow hospital executives to add continuous value to their installed medical devices with smart workflows, and developers to combine data from different modalities, vendors and care settings to simplify transitions from AI research to productive AI usage.

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