ACR Sets the Standard: Comment on Draft AI Practice Parameters
ACR invites comments on draft AI Practice Parameters, setting standards for safe, ethical, and effective AI use in radiology.
Read moreThe Data Science Institute (DSI) recently collaborated with leading institutions, including Massachusetts General Brigham, University of Colorado, NVIDIA, and the National Institutes of Health National Cancer Institute, to host a Federated Learning Challenge as part of the 2022 Medical Image Computing and Computer-Assisted Intervention (MICCAI) conference. The challenge aimed to bring together experts from various fields to showcase the latest advancements in federated learning and provide a platform for collaboration and knowledge exchange.
The competition was a huge success, with participants showcasing their innovative FL methodologies. After much consideration, the winner of the challenge was announced at the MICCAI annual meeting, where attendees were able to learn more about the winning federated learning methodology and its potential impact on the field of AI and healthcare.
This challenge highlights the DSI commitment to advancing the use of federated learning in the healthcare industry and showcases the importance of collaboration between institutions and experts in driving innovation and progress in the field. The DSI will continue to work with top institutions and organizations to promote the safe and effective use of AI in healthcare.
ACR Sets the Standard: Comment on Draft AI Practice Parameters
ACR invites comments on draft AI Practice Parameters, setting standards for safe, ethical, and effective AI use in radiology.
Read moreDetailed Summary of FY2026 IPPS Final Rule
This rule provides updates to payment rates and policies for inpatient hospitals and long-term care hospitals.
Read moreAHRQ Draft Report for Lumbar Fusions
ACR submitted comments to AHRQ’s draft report on lumbar fusions, raising concerns about coverage, patient selection, and scope of reviewed procedures.
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