On May 9, 2019 AIC held a full day workshop on Imaging AI and Machine Learning. Radiological imaging has become ubiquitous in healthcare for diagnosis, therapeutic interventions, research and education. The radiology community has made much progress in applying artificial intelligence (AI) in diagnostic imaging over the past 30 years. However, AI has yet to make significant improvements in diagnosis and patientoutcomes, and the full potential of AI in imaging and informatics is yet to be realized. To collectively identify and address the complex and critical challenges of imaging AI in healthcare, we have organized a workshop to focus on the following 4 foundational questions. We have invited key technical and clinical experts from academia, government and industry to review the current capabilities and chart the course for the future. The Workshop focused on the following key themes:

• How can current AI technology, particularly convolutional neural networks, be enhanced? Are there any capability gaps?

• What additional computational tools or systems do we need to complement current AI tools?

• What data sets should be developed to optimize specific tasks of today and tomorrow? How should these data be gathered, curated, and maintained?

• What are the models for scaling up and sustainment?

For more information regarding the workshop please click here