The potential impact of AI in healthcare and medicine looms large. Researchers and clinical practitioners are turning to AI in the search for solutions to many of today’s challenges.
However, bringing reliable AI to the clinic has proven more difficult than initially anticipated. One reason is that modern AI performs best when there is a vast amount of data to learn from.
Data from the medical domain can, by comparison, be small and poorly characterized, making its use for AI training fraught with issues.
In this webinar, we will discuss the impact of training AI with synthetic data and highlight radiology as a successful use case.
Using an AI application developed to automatically analyze chest CT exams, we demonstrate how synthetic data was instrumental in building a new type of application that is in active use across the globe.