Three Academicians and Experts from Five Countries Gather in Hainan to Explore Cutting-Edge Trends in Global Medical AI
Against the backdrop of AI application deployment and commercial value conversion becoming the focal point of industrial competition, accurately identifying and entering highly suitable scenarios has become a key proposition for enterprises’ sustainable development.
According to the "2025 Research Report on Large Medical Models" released by VBInsight, a total of 133 large medical models were launched in 2025 (as of May 1), far exceeding the 94 launched throughout 2024 and the 61 launched throughout 2023. These 288 large models have been extensively deployed across 12 major application categories and 56 specific application scenarios.
From the perspective of practical implementation outcomes, imaging-focused large medical models have demonstrated particularly outstanding performance, achieving routine application across the entire workflow in radiology departments. Meanwhile, health management has also revealed significant application potential, positioning it as a promising area for the deployment of large medical models.
VBInsight’s further analysis reveals that AI-assisted imaging diagnosis leads the pack among various applications; lightweight scenarios such as chronic disease management, mental health and psychological well-being, weight loss, and wellness care have also become key development directions for many enterprises deeply entrenched in niche sectors.
The integration of technology and clinical needs is an ongoing imperative. Only when medical efficiency and boundaries achieve a qualitative leap can large language models truly demonstrate their significant practical value and meaning. So, how exactly do these five application scenarios achieve mutual empowerment with healthcare-focused large language models?
The 2025 Digital Therapeutics Conference, to be held on August 15–16 in Hainan Province at the “Global Digital Therapeutics Innovation Island,” will unveil this mystery.
The 2025 Digital Therapeutics Conference, anchored in artificial intelligence and themed “Embracing a Myriad of ‘Data’,” joined hands with academicians from the Chinese Academy of Sciences and the Chinese Academy of Engineering, as well as digital health experts from China, the United Kingdom, South Korea, Indonesia, Japan, and other countries. With an open posture, the conference embraced the global wisdom of medical AI, harnessing the inclusive momentum of “all rivers flowing into the sea” and gathering the strength of mighty currents.
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“Every healthcare scenario deserves to be reinvented by large language models.” Among 56 specialized application scenarios, why have five key areas—imaging-assisted diagnosis, chronic disease management, mental health and psychological well-being, weight loss, and elderly care and wellness—garnered significant attention?
First, large imaging models are the most mature in development and already cover the entire lifecycle.Even before reaching their current parameter scale, artificial intelligence models for medical imaging demonstrated broad application prospects. Over the past decade, not only has acceptance of AI-based imaging products among healthcare institutions continued to rise, but physicians’ involvement in the research and development of imaging AI has also deepened.
Among the 288 large medical model products, 56 are currently focused on the field of medical imaging, with auxiliary diagnostic applications for anatomical regions such as the heart, bones, head and neck, and lungs being the most widespread.
VCBeat has also found, through exchanges with multiple leading medical imaging AI companies, that large models for medical imaging are evolving from single-site assisted diagnosis toward whole-course disease management and multimodal fusion diagnosis. This also means that medical imaging AI products are gradually evolving from auxiliary tools into the core driving force of the diagnosis and treatment ecosystem.
Health management centered on out-of-hospital settings is subject to relatively less policy regulation and constraints.fewer, and the collaboration chain is more streamlined. When large language model technology meets the demands for improved efficiency and reduced costs, its deployment speed will accelerate significantly.
Health management encompasses a broad range of categories, with chronic disease management, mental health, and lightweight scenarios such as weight loss and wellness becoming key development directions for many enterprises deeply engaged in niche sectors. Typical large language models (LLMs) have already been implemented in these areas. For instance, since 2025, the AI LLM for weight management, “Jiandan,” has been prominently launched; the “Zizai” AI LLM for mental health has initiated pilot offline applications through integrated services; and a billion-parameter LLM tailored for the elderly care industry has also been deployed in Beijing.
The value of these lightweight scenarios lies not only in enhancing the convenience and personalization of health management, but also in reaching a massive user base through low-threshold services and accumulating high-frequency health data interactions. This facilitates the construction of a proactive health management system encompassing “prevention–screening–intervention–rehabilitation.” The resulting data foundation also provides a scalable entry point for subsequent integration of medical resources, linkage with health insurance payment systems, and development of precision health products.
Amid the wave of applications for large medical models, various regions are actively exploring innovation, with many areas already emerging with benchmark-setting implementation practices that provide replicable templates for industry development.
Taking Hainan, the host province of the 2025 Digital Therapeutics Conference, as an example, the provincial “2+3” health service package—targeting five diseases that severely affect the health of Hainan residents, namely hypertension, diabetes, tuberculosis, severe mental disorders, and hepatitis—was launched across the province in 2022 and has achieved significant results after years of implementation.
According to the pilot results of digital therapeutics for diabetes under Hainan Province’s “2+3” Health Service Package, released in September 2024, Baoting County had 4,909 diabetic patients under management, with the fasting blood glucose control rate improving by 13.1%; Lingshui County had 10,297 patients under management, with the fasting blood glucose control rate increasing by 14.17%. The mere few months of piloting fully demonstrated the significant impact of digital technologies in diabetes management.
This case is but a small piece of the grand landscape of medical AI implementation in China.At the 2025 Digital Therapeutics Conference,“Panoramic Map of Digital Demonstration Applications in China’s Regional Health Systems” to Make Its Grand Debut, integrating typical cases from multiple regions across China, covering applications in various fields, and highlighting the value of medical AI in improving healthcare efficiency and enhancing patient experience.
The conference also focused on progress in innovative application scenarios for digital health, in2024 Selection of Innovative Development Cases for New Quality Productive Forces in Digital HealthBuilt upon a comprehensive upgrade, launchedCall for Entries: 2025 Digital Health Innovation Application Cases. Outstanding cases will be showcased and shared with domestic and international attendees during the conference.
The deadline for case submissions is August 1, 2025. Please scan the QR code below to register and showcase more exemplary cases for industry reference.
(QR Code for the 2025 Call for Innovative Digital Health Application Cases)
From a broader perspective, spanning from Europe and the United States to Asia, numerous countries have successively introduced significant policies, elevating the development of medical AI to the level of national strategy. A transformation reshaping the global healthcare landscape is accelerating.
In early 2025, the U.S. Department of Health and Human Services (HHS) released a nearly 200-page “Strategic Plan for AI in Healthcare,” detailing how the United States intends to vigorously promote the adoption and implementation of AI in the healthcare sector. In April, the UK government issued new guidelines encouraging physicians to use products that leverage speech technology and generative artificial intelligence to convert spoken language into structured medical records and letters.
Asian countries have also responded swiftly, using policy as the engine to drive innovation.
South Korea passed the Basic Act on Artificial Intelligence Development and Trust Building at the beginning of the year, imposing strict regulations on high-impact AI systems such as medical AI to mitigate risks in areas including the operation of healthcare systems and the development and use of digital medical devices.
Indonesia’s Ministry of Health Launches the “2024 Strategic Blueprint for Digital Transformation in Health,” Strengthening the Integrated Development of Health Data Systems and Digital Health Infrastructure;
Japan’s House of Representatives passed the “Act on Promotion of Research, Development, and Utilization of Artificial Intelligence-Related Technologies,” which stipulates the responsibilities of national and local governments in formulating and implementing plans to advance the research, development, and application of AI-related technologies, and requires enterprises to “cooperate with relevant policy measures of the national and local governments.”
Amid favorable policies, the domestic and international industries have responded actively, with a continuous stream of innovative practices. At this conference,Three academicians from the Chinese Academy of Sciences and the Chinese Academy of Engineering will engage in a roundtable discussion focusing on medical transformation and prospects in the age of artificial intelligence; representatives from digital health alliance organizations in Japan, South Korea, the United Kingdom, Singapore, Indonesia, and other countries will also attend the event., providing in-depth insights into the latest research findings, practical experiences, and future development trends in medical AI and digital health across various countries.
It is foreseeable that this gathering in Hainan will not only be a feast for the exchange of international experience, but also a significant step for China’s digital healthcare sector to go global.
Amid the global journey of digital health development, Hainan is advancing with greater openness and firmer strides to enhance China’s global voice in the field of digital healthcare. We look forward to your joining us in witnessing the future unfold.
2025 Digital Therapeutics Conference: Registration Now Open – You Are Cordially Invited to Participate.
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