Role of Computer Vision & Synthetic Data in Transforming Medical Imaging
At Segmed, we are excited to announce the release of our latest review at the Radiology Journal , exploring cutting-edge advancements in computer vision for medical imaging. This project was led by the Segmed team in collaboration with our friends from University of Washington Seattle, Harvard University, Stanford University, Microsoft, and University of San Francisco! Over the past decade, artificial intelligence (AI) has played a pivotal role in transforming healthcare, particularly in medical imaging, by enhancing techniques like image classification and segmentation. Our review highlights how the next frontier for AI, with large-scale generative models and synthetic data, is addressing key challenges in medical data sharing and accelerating innovation. In this blog article, we’ll dive into the core findings from our publication and explain why synthetic data could be the game-changer for the development of AI models in healthcare. 1. How Synthetic Data Can Fuel AI Model Developmen...