ACR Strategizes for 2026 State Legislative Sessions
ACR joined other medical societies at the AMA State Legislative Roundtable to discuss policies that impact practices and patient care.
Read moreAn article in the April issue of the Journal of the American College of Radiology (JACR®) documents how AI-LAB™ was successfully used to test an external COVID-19 Chest Radiograph (CXR) Artificial Intelligence (AI) algorithm on local data by a clinical radiology department with no dedicated data science infrastructure. The experiment shows generalizability of the Pulmonary X-ray Severity (PXS) score model from one practice to another. More importantly, the authors explain how a modest investment of resources and effort can empower a real-world clinical department to participate in data science.
For AI models to scale and be clinically useful, software tools that facilitate the local testing process, like the freely available AI-LAB provided by the American College of Radiology®(ACR®) to members, will be important to cross the AI implementation gap in health care systems.
This successful test demonstrates AI-LAB’s value for local testing and model validation. For more information, contact Alison Loughlin.
ACR Strategizes for 2026 State Legislative Sessions
ACR joined other medical societies at the AMA State Legislative Roundtable to discuss policies that impact practices and patient care.
Read moreMobile Cancer Screening Act
ACR emphasized the importance of bringing cancer screening directly to the communities that need it most to ensure early detection and intervention.
Read moreACR Challenges BCBS Policy
3D imaging is not routinely performed and requires added resources, including specialized software, trained personnel and physician input.
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