Yuanxin Technology Partners with Tencent Health to Launch Yuanquan Patient Management and Huibao Models


According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.
A recent report titled "Health Tech 50 - The First Edition" released by KPMG China reveals that China has taken a leading position in the field of medical large models globally. The report indicates that the number of medical large models launched in China accounts for more than 70% of the global total, far surpassing other countries and regions. In terms of model categories, large language models (LLMs) are the most numerous, accounting for nearly 65%. Moreover, the report also highlights the strong growth momentum of the intelligent medical devices market in China. It is expected that by 2025, the scale of the intelligent medical devices market in China will reach 24.23 billion yuan, and it will continue to grow.
iFLYTEK will launch the iFLYTEK Spark Cognitive Large Model V3.0 and the Medical Large Model on October 24. iFLYTEK's third-quarter revenue increased by 2.89% year-on-year, achieving positive operating cash flow. iFLYTEK's investments in cutting-edge technologies, such as cognitive large models, have impacted short-term profits. The company states that these investments lay the foundation for its long-term development in the digital economy era. iFLYTEK has established new core technology capabilities that are autonomous and controllable.
Emu3.5 introduces autoregressive next-state prediction, enabling AI to plan and execute cross-modal tasks in complex environments, advancing from perception to intelligent operation.....
IBM introduces the Granite4.0Nano series of small AI models, designed for local and edge inference, featuring 8 models available in 350M and 1B parameter sizes. The models use a hybrid SSM and transformer architecture, support base and instruction modes, are released under the Apache 2.0 open-source license, and are compatible with popular runtimes such as vLLM, enhancing enterprise control.