The workflow for training an AI model involves data collection, curation, and training. This is very different from the workflow for clinical implementation, which involves identification of the images that can have an AI tool applied, possible collection of other images or textual data for the AI, execution of the AI on that 1 case, possible review by the physician before inclusion into the medical record, and then transmission to the medical record. What are best practices and relevant standards for clinical implementation that users should be aware of? What aspects of the training component should users know about when selecting an AI tool? Should the AI results be reviewed within the PACS or in a separate application? Join our industry experts to get answers to these, and many more, burning questions.
• Discuss best practices for clinical implementation of AI
• Describe relevant standards for clinical implementation of AI
• Define aspects of the training component users should be aware of when selecting an AI tool