ACR and MICCAI to Develop AI Algorithms for Clinical Radiology

The ACR is actively creating use cases for imaging AI and will work with MICCAI to leverage this knowledge base in MICCAI’s imaging AI competitions. The ACR Data Science Institute (ACR DSI) is actively working on technically-oriented use cases (TOUCH-AI) which will help algorithm vendors identify and target areas that have the greatest clinical impact, as well as strategies to ensure appropriate validation pre-deployment (CERTIFY-AI) and ongoing monitoring while in the clinical setting (ASSESS-AI).

The ACR represents more than 38,000 diagnostic radiologists, radiation oncologists, interventional radiologists, nuclear medicine physicians and medical physicists. Its core functional areas — advocacy, economics, education, quality and safety, research, and membership value — are improving, promoting and protecting the practice of radiology. The MICCAI Society is an important forum for medical image computing, computer-assisted intervention, and medical robotics. The multidisciplinary nature of these emerging fields brings together clinicians, bioscientists, computer scientists, engineers, physicists, and other researchers who are contributing to, and need to keep abreast of, advances in the methodology and applications.

“The ACR brings a strong clinical perspective, decades of experience creating imaging standards, and a history of promoting imaging informatics solutions, such as DICOM, that help the imaging technology landscape evolve and thrive,” said Mike Tilkin, Chief Information Officer and Executive Vice President, ACR. “Although it’s still early, we believe AI algorithms will be useful in a variety of areas throughout the imaging life-cycle and will help radiologists be more efficient and provide better patient care. Radiology has played a leading role in the application of advanced technology in medicine, and we believe AI represents another important area of innovation and opportunity.”

“Working together, our organizations can help promote learning in a scientifically-rigorous manner, target solutions that have the greatest clinical impact, and promote standards that encourage a useful clinical workflow,” said Bibb Allen Jr., MD, FACR, and Chief Medical Officer, ACR DSI.

Related Links:
American College of Radiology
Medical Image Computing and Computer Assisted Intervention