The American College of Radiology Data Science Institute® collaborates with radiology professionals, industry leaders, government agencies, patients, and other stakeholders to facilitate the development and implementation of artificial intelligence (AI) applications that will help improve patient care.
ACR DSI is developing a framework for implementation of machine learning in the radiological professions that:
- Defines clinically relevant use cases for the development of AI algorithms in medical imaging, interventional radiology and radiation oncology
- Establishes a methodology and provides tools and metrics for creating algorithm training, testing, and validation data sets around these use cases
- Develops standardized pathways for implementing AI algorithms in clinical practice
- Creates opportunities for monitoring the effectiveness of AI algorithms in clinical practice
- Addresses the regulatory, legal, and ethical issues associated with AI in medical imaging, interventional radiology, and radiation oncology
ACR DSI's mission is to:
- Leverage the value of radiology professionals through clinically relevant use case development and clinical workflow integration as AI evolves
- Ensure patient safety through algorithm validation and by advising government agencies, such as the FDA, to enhance the regulatory approval process in ways that benefit and protect patients
- Establish industry relationships by defining clinically valuable use cases, working with the FDA and other agencies to develop an effective regulatory process for algorithm approval, and creating pathways to integrate AI models into the clinical workflow
- Educate radiology professionals and other stakeholders about artificial intelligence and the ACR’s role in data science for the good of our patients.