Group 1 - The core viewpoint of the article focuses on the challenges and future trends of AI technology in the medical imaging market, as discussed by Gao Yaozong, Senior Vice President of R&D and Chief Scientist at United Imaging [2][3] - Currently, there are two main technical challenges in advancing medical AI: the lack of a truly universal, cross-modal medical imaging large model and the need for improved methods for effective integration of multi-modal information [2] - A significant challenge is the inability to accurately process different imaging types (CT, MR, ultrasound) using natural language instructions like "find the lesion," which is feasible in traditional text models [2] - Effective integration of multi-source data (images, text, tests, ECG) without losing critical information remains a core challenge for enhancing diagnostic accuracy and reliability, requiring further research and breakthroughs [2]