BC Platforms, a global leader in healthcare data management and analytics, today announced it…
Medexprim’s researchers and engineers contribute daily to the advancement of scientific research.
Our researchers look at an approach helping to revolutionize the development of artificial intelligence (AI) models in medical imaging. The principle is to generate synthetic data from actual Real-World ones, thus overcoming the problem of limited data availability. This enriches the training dataset feeding AI models, enabling them to learn from a wider range of scenarios, including rare cases that occur infrequently in real life.
Samuel Boucher is commenting on a piece of work that may contribute to revolutionize the training of AI models in the field of medical imaging. Indeed, the generation of synthetic medical cases could overcome the challenges posed by limited data availability. This not only enriches the dataset but also empowers AI models to learn from a broader range of scenarios, including rare elements that may be infrequently encountered in real-world cases.
