The National Evaluation System for Health Technology (NEST) Coordinating Center announced Feb. 2 it had selected a use case from the American College of Radiology (ACR) Data Science Institute (DSI) as one of its first demonstration projects.
NEST chose “Lung-RADS Assist: Advanced Radiology Guidance, Reporting and Monitoring” to determine workflow via artificial intelligence (AI).
“We are proud that the NEST program recognizes the value of the ACR Data Science Institute’s groundbreaking work,” said ACR DSI chief medical officer Bibb Allen Jr., MD, in a prepared statement. “The ACR DSI will employ our open framework, TOUCH-AI (Technology Oriented Use Cases for Healthcare Artificial Intelligence), to provide infrastructure for ongoing longitudinal AI algorithm verification pre- and post-FDA approval. This can help bring better medical care to patients more quickly.”
Lung-RADS Assist will aim to collect validation data and perform local algorithm testing, while allowing for interoperability between reporting and AI vendors.
“The future of medical imaging is doctors harnessing the power of AI to enhance their decision making. New and existing technologies will provide greater detection and treatment by using all available data to improve patient -centered care. The ACR DSI provides a national foundation to move this process forward,” said ACR DSI chief science officer Keith J. Dreyer, DO, PhD.
Nicholas joined TriMed in 2016 as the managing editor of the Chicago office. After receiving his master’s from Roosevelt University, he worked in various writing/editing roles for magazines ranging in topic from billiards to metallurgy. Currently on Chicago’s north side, Nicholas keeps busy by running, reading and talking to his two cats.