AI-Powered Healthcare Infrastructure Upgrade: Bridging Hospital and Home Scenarios with Large Models — Arterys Open Class
Currently, the uneven distribution of medical resources in China and the significant shortage of family doctors have created vast development opportunities for AI in healthcare. With the rapid advancement of large model technologies, particularly reasoning-based large models, the healthcare industry has become one of the primary application scenarios for next-generation AI. Top-level design across four key sectors—"AI + Healthcare Service Management," "Primary Public Health Services," "Health Industry Development," and "Medical Education and Research"—has provided a clear pathway for the integration of large model technologies into new healthcare infrastructure. Nevertheless, this revolution faces challenges. Issues such as the diversity of medical applications, data privacy protection, the interpretability of model decisions, and legal gaps in liability determination still need to be gradually addressed as the field evolves.
With the mission of exploring how to apply the latest AI technologies to the healthcare industry, this session of “VCBeat Open Class” has invitedJi Yongnan, Director of Healthcare Industry Applications, NVIDIA China、Zhang Chao, CEO of Beijing Zuoyi Technology Co., Ltd., bringing"Large Models Drive the Upgrade of New Healthcare Infrastructure: How to Bridge the 'Hospital + Home' Dual Scenarios?"topic sharing, which will interpret for everyone from multiple dimensions how to bring cutting-edge large model technologies such as multi-agent collaboration into the healthcare industry.
Scan the QR code in the poster below to register for the live stream.
Course Duration:Thursday, May 22, 2025, 16:00-17:20
Course Topic:“Large Models Drive the Upgrade of New Healthcare Infrastructure: How to Bridge the ‘Hospital + Home’ Dual Scenarios?”
Course Content:
1. How Large Reasoning Models Unlock Numerous New Healthcare Scenarios and Reshape the Landscape of Opportunities for Medical Applications?
2. Smart Outpatient Services + AI Agent: A Dual-Engine Approach Opens New Frontiers in Healthcare Applications
3. Discussion on the Construction Strategy of AI Agent Platforms
4. How to Continuously Enhance Model Foundation Capabilities Through AI Applications and Agent Platforms
5. Insights into how leading domestic enterprises build AI Agents featuring end-to-end training, integrated deep reasoning and interaction, tool invocation, and automated RAG
Dr. Ji Yongnan, Director of Healthcare Industry Applications at NVIDIA China, is responsible for the implementation of NVIDIA’s technology platform within China’s healthcare and medical sectors. Prior to joining NVIDIA, he worked on the research, development, and deployment of AI algorithms and applications at companies and institutions including Tencent, GE Healthcare, Toshiba Medical Systems, and Samsung Research. Dr. Ji earned his degree in Computer Science from the University of Nottingham in the UK. He is an expert in medical imaging and artificial intelligence applications, with dozens of academic papers and core patents to his name, spanning interdisciplinary fields such as medical imaging and AI-driven image analysis.
Zhang Chao holds a master’s degree in Computational Mathematics from the University of Electronic Science and Technology of China. He previously served as a Research Assistant at the School of Computing, National University of Singapore, and was the Head of NLP Knowledge Mining and a Knowledge Graph Expert at Baidu. With significant academic achievements in the field of Natural Language Processing (NLP), Zhang has published multiple high-quality papers as the first author and secured several patents as the primary inventor. In 2015, he founded Beijing Zuoyi Technology Co., Ltd., leading his team to integrate cutting-edge AI technologies—including large language models, knowledge graphs, and conversational interfaces—with medical practice. By developing a reasoning and decision-making engine tailored to the needs of patients and physicians, the company has created a leading all-in-one AI doctor solution in China. Currently, its entrepreneurial outcomes have been adopted by more than 200 Grade III Class A hospitals, including over 40 of the top 100 hospitals in the country.
“VCBeat Open Courses” is one of the branded columns under VCBeat. Focusing on the pain points and systemic solutions in the medical field, it continuously invites senior industry practitioners and experts to jointly develop a series of thematic courses through an online live-streaming platform for knowledge sharing and exchange. The program aims to provide medical enterprises with in-depth and valuable practical content. VCBeat Open Courses: Making the selection of knowledge simpler.