How Will Open-Sourcing Pathology Foundation Models Shape the Industry? Answers in Today's Live Session — AI for Life Series #6

Currently, large medical models have entered a pragmatic phase of “value realization.” To accelerate the application of large model technology across various specialized scenarios in healthcare,VCBeat is specially organizing the “AI for Life” special series of live-streamed events. Conducted as online roundtable discussions, each session will invite three leading enterprises and industry experts from China’s large language model (LLM) sector to engage in in-depth dialogue on key issues surrounding the development of specific LLM application scenarios., to overcome implementation challenges and connect ecosystem resources, thereby fostering greater ecosystem collaboration and supply-demand matchmaking.

As the most mature niche for current artificial intelligence and large language model (LLM) applications, every step in the development and deployment of pathology-specific LLMs has attracted widespread attention. From the successive release of several pathology LLMs to the continuous improvement in accuracy and accessibility, and from commercialization to the open-sourcing of prominent models, pathology LLMs are at a critical juncture in industry development. What impact will the open-sourcing of models have on the industry? How can enterprises overcome the challenges of adapting models to diverse hospital data and clinical scenarios, from development to practical implementation? How should they seize opportunities to navigate the development cycle from technology to product and finally to marketable commodity? How can trust among physicians in pathology LLM products be enhanced? And how can a robust “AI-physician human-machine collaboration model” be established? These questions represent key issues that urgently need to be addressed by the industry.

In this regard,July 17, 4:00 PM, the sixth episode of VCBeat’s “AI for Life” special live-streaming series focuses on large pathology models and has invitedChang Qing, Researcher at the Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine; Wang Xiaomei, Founder & CEO of Hangzhou Yice Technology Co., Ltd.; and Ding Ming, Chief Information Officer of Guangzhou Huayinkang GroupThree representatives from well-known hospitals and enterprises in the industry, from“Acquisition and Governance of Pathology Images/Data” “Pathway from Technology to Clinical Application for AI Pathology Models” “AI-Physician Human-Machine Collaboration Model”Deconstructing the Current Status, Challenges, and Future of Domestic Pathology Large Models from Three Dimensions