Shukun Technology Files IPO Prospectus, Spearheading the Era of Multimodal Medical Foundation Models

Eight years ago, with the launch of the world’s first coronary CTA, SHUKUN became synonymous with “pioneering” in the medical AI industry.

Subsequently, as SHUKUN implemented its “Digital Human” concept across all imaging modalities—including CT, MRI, DR, and ultrasound—and launched over 100 “Digital Doctor” products, while securing the industry’s highest number of 17 NMPA Class III medical device certificates (as of March 2025), the medical paradigm in radiology has been thoroughly revolutionized.

And this is far from the end for SHUKUN.

Three years ago, SHUKUN unveiled a milestone product symbolizing intelligent digital healthcare—“SHUKUN Multimodal Healthcare Large Model". Rather than merely a product, it is a groundbreaking invention. It redefines the depth of human-machine collaboration, evolving AI from an auxiliary tool into the core driving force of the diagnostic and therapeutic ecosystem. Today, SHUKUN Technology, embodying the role of an 'all-around champion' in medical large models, is leading the era toward a new chapter in future healthcare."

At this year’s CMEF, an all-purpose large language model hailed as the “digital-intelligence brain” of the healthcare industry—the “Shukun Kun” multimodal medical and health large language model (hereinafter referred to as the “Shukun Kun” large model)—made a stunning debut.It not only provides in-depth analysis of medical images with precise insight into details, but also interprets textual data to uncover latent information, while possessing exceptional diagnostic and therapeutic reasoning capabilities and extensive practical experience.

Leveraging this cutting-edge large language model, SHUKUN has launched the Digital Human 4.0 technology platform, along with AI-powered imaging, AI-powered ultrasound, AI-powered hospital, and AI-powered primary care solutions that have been comprehensively empowered and upgraded by the “ShuKun Kun” large model on top of the platform, as well as a series of AI-native hardware embedded with “ShuKun Kun” capabilities.

Professor Wang Peijun, Vice Chairman of the Chinese Society of Radiology, and Mao Xinsheng, Founder and Chairman of SHUKUN Technology, jointly unveiled Digital Human 4.0

Professor Wang Peijun stated:The integration of large language models into Digital Human 4.0 has elevated medical imaging diagnosis, imaging management, and hospital administration to new heights. It is believed that the continuous clinical application of such products will undoubtedly enhance the efficiency and quality of healthcare delivery.

The exhibition booth was teeming with visitors, as crowds flocked to SHUKUN’s stand to witness firsthand a series of cutting-edge AI agent applications representing the future of digital and intelligent healthcare. Attendees listened as staff outlined a vision for more convenient, precise, and accessible digital and intelligent medical services in the years to come.

What is the magic behind SHUKUN’s large language model that allows people to glimpse the boundless possibilities of future healthcare?

Before answering this question, we must first raise another: In the current landscape of fierce competition among numerous large language models (LLMs), people have gained a glimpse into their capabilities—particularly those LLMs on the market that demonstrate profound mastery of medical knowledge and provide detailed insights into medical issues. But are such LLMs truly what is needed in clinical practice?

In the course of technological evolution, SHUKUN has found that the answer is no.

In real-world clinical settings, physicians are not search engines or encyclopedias of medical knowledge.The physician’s clinical reasoning process involves interpreting imaging studies such as CT and MRI, analyzing physical examination findings, identifying pathological lesions, exercising prudent clinical judgment, and ultimately formulating a precise treatment plan using standardized medical terminology.This rigorous medical reasoning logic encompasses complex cognitive processes and hands-on clinical experience. Currently, however, most large medical models on the market merely disseminate popular-science-style medical information to patients based on general medical knowledge, which cannot be considered a complete, closed-loop medical practice.

However, the “Shukun” large language model can.

Mao Xinsheng stated that Digital Human 4.0 will drive the healthcare industry’s upgrade into a new phase, aiming to equip all physicians with intelligent tools fundamentally different from today’s through digital human technology. SHUKUN is at the global forefront in both large language model development and model application.

As a large language model specialized in the medical domain, “Shukun Kun” can already identify imaging data from modalities such as CT, MRI, DR, X-ray, mammography, and ultrasound, while deeply understanding textual information including patients’ biochemical test results, diagnostic reports, past medical history, and history of present illness. Furthermore, after learning all publicly available medical guidelines, expert consensus statements, and academic papers, the Shukun large language model has also been trained on extensive real-world clinical cases and physicians’ clinical reasoning.

This makes,“Shu Kun Kun” has developed a profound understanding of textual and imaging data, as well as comprehensive mastery of diagnostic and treatment logic, based on a vast repository of medical knowledge. Furthermore, through deep learning from extensive clinical cases, it has acquired rich practical experience.

Therefore,“Shukun” Large Model is a genuine multimodal medical large model capable of thinking and working like human physicians.

An interesting anecdote emerged from the Industry Large Model Innovative Application Competition hosted by the Beijing Municipal Science and Technology Commission. Numerous well-known general-purpose large models competed, including several industry “giants” in the medical track. The competition rules required all participating large models to perform on-site diagnoses for 100 complex liver disease cases, with the model achieving the highest number of accurate diagnoses declared the winner. The contest was tense and fiercely competitive. Ultimately, SHUKUN’s model secured first place by providing completely accurate diagnoses for 99 of the cases. What surprised the panel of expert judges most was that in the single case where SHUKUN’s diagnosis differed from that of human physicians, SHUKUN’s comprehensive assessment proved to be more accurate.

With this milestone, the capabilities of SHUKUN’s large model were fully recognized by the external community. Since then, the SHUKUN large model has successively received:

CAC Algorithm Filing Certification;

Ranked No. 1 on the CMB List, the world’s largest Chinese medical evaluation benchmark (current best performance);

First Prize in the Industry Large Model Innovation Application Competition hosted by the Beijing Municipal Science & Technology Commission, ranking first in the medical field;

“2024 Outstanding Cases in the Development of New Quality Productive Forces” Selected by Xinhua News Agency;

Implemented at Beijing Friendship Hospital, Beijing Geriatric Hospital, the General Hospital of the Eastern Theater Command, Shenzhen People's Hospital, and others...

Launched in Zhongwei, Ningxia; Nanning, Guangxi; Wuzhong District, Suzhou; Changping District, Beijing...

In early 2025, SHUKUN announced that its multimodal healthcare large language model, “Shukun Kun,” had officially integrated with DeepSeek. Leveraging DeepSeek’s robust capabilities in general knowledge, “Shukun Kun” has filled its gap in general-purpose knowledge, further solidifying the model’s foundation. This complementary synergy has significantly enhanced the overall performance of “Shukun Kun,” enabling it to handle more complex, diverse, and precise tasks, thereby accelerating its deployment across various scenarios in the digital and intelligent transformation of healthcare. “Shukun Kun” is on its way to becoming the all-around champion among healthcare large language models.

What Will the Radiology Department of the Future Look Like? Digital Human 4.0 Provides a Clear Answer: The AI-Driven Radiology Department. Powered by SHUKUN’s newly developed multimodal healthcare large model, the “Comprehensive Imaging” solution will enable the full implementation of AI-driven radiology departments in the future.

Digital Intelligence Imaging Department Solution: Centered on the clinical, educational, research, and administrative aspects of hospital imaging departments, this solution achieves comprehensive digital intelligence transformation across image diagnosis, teaching, scientific research, and departmental management, thereby reshaping the operational ecosystem of imaging departments.

Medical imaging diagnosis is SHUKUN’s core competency. Empowered by “Shu Kun Kun,” the company has once again broken through the ceiling of AI in medical imaging. In the Digital Human 4.0 phase, SHUKUN has achieved full coverage of more than ten data modalities, including non-contrast CT, contrast-enhanced CT, perfusion imaging, non-contrast MRI, contrast-enhanced MRI, DR, X-ray, and mammography. It has reshaped 12 core workflows and covered over 100 diagnostic scenarios, significantly enhancing the efficiency of imaging diagnosis.

Following the completion of its CT digital human layout, SHUKUN has continued to make rapid strides in magnetic resonance imaging (MRI). Its one-stop MR AI solutions for the heart, liver, and breast are designed around clinical needs, thoroughly addressing common challenges such as complex image formatting and time-consuming interpretation. These solutions assist physicians in conducting multi-dimensional analyses based on morphological features, organ functional status, tissue characteristics, and motion trajectories.Comprehensive assistance in clinical diagnosis, fully achieving “clear visualization and accurate interpretation.”

Radiologists are required to issue hundreds or even thousands of imaging diagnostic reports daily. This task is not only time-consuming and labor-intensive but also prone to oversights due to fatigue. The automatic speech-to-report feature of the “Shukun” large language model can automatically convert spoken dictation into standardized reports that meet clinical requirements, while simultaneously performing automated quality control for both images and reports during the drafting process, leaving physicians with only the need to review and verify.

Wang Yuan, Director of the Department of Geriatrics at Beijing Geriatric Hospital, commented after using it:“The large language model has saved me at least half the time spent writing medical records—it’s incredibly convenient!” With quality control not only during consultations but also through post-consultation data dashboards, all quality issues are clearly visible, making improvements in both quality and efficiency effortlessly achievable.

Not only does it excel in quality control, but the “Shukun” large language model also effortlessly tackles complex research challenges. The research platform, built on a multimodal large language model, boasts several powerful capabilities: automated segmentation and reconstruction, automated data annotation, automated generation of structured data, and provision of multidimensional analytical methods. These features serve as a timely solution, precisely addressing researchers’ data processing difficulties and enabling the transition from “idea to paper” to move beyond mere slogan to tangible realization, and further toward continuous optimization.

At last year’s CMEF, SHUKUN’s ultrasound solution made its debut. Its innovative “AI+AR” product format not only disrupted traditional ultrasound workflows but also eliminated the cumbersome procedures associated with most ultrasound AI systems that rely on a “second screen” for assistance. Upon its launch, it quickly won over numerous hospital ultrasound departments, earning the affectionate moniker: the “second pair of eyes” for ultrasound physicians.

This year, as the second star product to be unveiled, ultrasound—powered by the “Shukun Kun” large model—centers on two key themes: whole-body AI and the “1+4” digital-intelligent ultrasound department.

As the most popular clinical examination, ultrasound offers the advantages of being non-invasive, real-time, convenient, and cost-effective. However, routine ultrasound examinations in most hospitals are limited to a few specific areas, such as the thyroid, breast, and obstetrics; only a handful of leading tertiary Grade A hospitals are capable of performing whole-body ultrasound examinations.

SHUKUN has identified this pain point and pioneered whole-body ultrasound AI. The “Multi-Region Intelligent Switching” feature, debuted at this CMEF, enables screening and diagnosis of critical conditions across major body regions—including the thyroid, breast, carotid arteries, abdomen (liver, gallbladder, pancreas, spleen, and kidneys), gynecology, obstetrics, and heart—simply by adapting to different probes.

Moreover, empowered by the “ShuKun Kun” large language model, the new generation of digital-intelligent ultrasound has achieved a significant performance leap: the underlying computing power for AI-assisted diagnosis has increased by 50%; the AR projection display frame rate has improved by 100%; and the fully silent system delivers a sixfold reduction in noise.

SHUKUN is truly thinking from doctors’ perspectives and addressing their challenges, creating “AI that is genuinely practical and easy to use” for physicians.

Beyond empowering examination rooms, the new generation of digital-intelligent ultrasound solutions also delivers a significant benefit to departments: the industry’s first “1+4” digital-intelligent ultrasound department solution, comprising one digital-intelligent ultrasound examination room and four management platforms—the Digital-Intelligent Data Asset Platform, the Digital-Intelligent Research Platform, the Digital-Intelligent Quality Control Platform, and the Digital-Intelligent Remote Consultation Platform. This solution enables ultrasound departments to accumulate valuable data, facilitate the publication of research findings, achieve comprehensive quality control, and leverage remote consultations to empower medical alliances and consortia.

It can be said that the “1+4” digital-intelligent ultrasound department solution has charted the course for the intelligent transformation of ultrasound departments.

At the start of 2025, news that SHUKUN had signed an agreement with Beijing Geriatric Hospital to jointly build a model project for digital-intelligent hospitals made headlines in the medical section. Since then, Shenzhen People’s Hospital, Nanpi County People’s Hospital, and others have successively entered into strategic collaborations with SHUKUN for hospital-wide digital-intelligent transformation.

Why Are Public Hospitals Suddenly Accelerating Their Digital and Intelligent Transformation? This Is Not Unrelated to the Fervor Stirred by DeepSeek.

During the 2025 Spring Festival, the emergence of DeepSeek brought an unprecedented sense of urgency to the entire healthcare sector. Public hospitals, which had traditionally maintained a cautious stance toward AI, underwent a dramatic 180-degree shift. Within just two to three weeks after the holiday, nearly 100 hospitals officially announced their integration of DeepSeek. However, as the initial fervor subsided, many hospitals found that DeepSeek, as a general-purpose large language model, remained rudimentary in medical applications and struggled to address the industry’s core pain points.

However, the “Shukun” large language model integrated with DeepSeek can.

Following the integration of the “Shukun Kun” large language model with DeepSeek, a dual-engine-driven “Digital Intelligence Brain” has been formed, combining the healthcare-specific capabilities of the “Shukun Kun” model with DeepSeek’s general medical knowledge.Providing hospitals with digital-intelligence medical services, digital-intelligence patient services, and digital-intelligence management services.

Intelligent digital medical services empower departments such as radiology, ultrasound, clinical specialties, emergency and critical care, and health examination by leveraging the capabilities of SHUKUN’s large language model, providing precise support for image interpretation, lesion analysis, and assisted diagnosis.

Intelligent Patient Services empower the patient-facing interface with the capabilities of the "Shukun" large language model, enabling intelligent pre-consultation and triage prior to hospital visits; assisted diagnosis and clinical decision-making during hospitalization; and on-demand consultations, health advice, and report analysis post-discharge, thereby providing comprehensive, lifecycle-oriented medical and health management.

Digital-intelligence management services enhance hospital operational efficiency and service quality through management cockpits and lean operations.

This innovative model equips physicians with an “intelligent assistant” for handling tedious tasks, significantly enhancing the efficiency and quality of diagnosis and treatment; meanwhile, it provides patients with a 24/7 online “dedicated physician,” enabling personalized health management services. The comprehensive digital and intelligent upgrade across all hospital scenarios has turned the vision of “holistic medical oversight” into reality.

As the digital-intelligence hospital construction model matured, its capabilities were extended to a broader scope, giving rise to the Digital-Intelligence Primary Care Solution. SHUKUN’s development of primary care capabilities was by no means an overnight achievement. In fact, SHUKUN had already made in-depth strategic arrangements and accumulated extensive experience in strengthening the digitalization of primary healthcare. At this year’s CMEF, SHUKUN officially launched the Digital-Intelligence Primary Care 3.0 Solution, with the “Digital Doctor Agent Team” emerging as a highly acclaimed core highlight.

“The Digital Doctor Agent Team” encompasses a diverse range of digital doctors with precise positioning:

"Family Digital Doctors are rooted in grassroots community health service centers, providing residents with attentive daily health management;"

Screening Digital Doctor serves township health centers, facilitating early disease screening initiatives;

Quality Control Digital Doctor is deployed at the central hospital of the medical consortium to strictly ensure diagnostic quality;

The Digital Doctor Archive serves the National Health Commission, promoting the standardized management of medical records...

Leveraging this team of AI agents, SHUKUN has established a highly efficient collaborative system encompassing “prevention and screening at primary healthcare institutions, diagnosis and treatment at central hospitals within medical consortia, and coordinated management by higher-level health commissions.” This system not only effectively implements the national policy on tiered diagnosis and treatment but also significantly enhances the quality and standards of medical services at all levels. It fully leverages the advantages of artificial intelligence in supplementing medical human resources, thereby effectively addressing the shortage of medical resources at the primary care level.

The “Digital Doctor Agent Team” developed by the Shuzhi Grassroots Solution is currently serving multiple cities and regions, including Changping in Beijing, Wuzhong in Suzhou, Baoding in Hebei, Zhongwei in Ningxia, and Futian in Shenzhen, delivering significant results in achieving medical-prevention coordination, integration of medical and preventive care, and chronic disease management at the grassroots level.

Empowered by the “ShuKunKun” multimodal healthcare large model, AI-native hardware has emerged from SHUKUN’s innovative ecosystem, bringing unprecedented transformation to the medical industry.

At this year’s CMEF, a series of AI-native hardware solutions demonstrated flexible deployment across cloud, edge, and endpoint scenarios, freeing medical services from spatial and equipment constraints. Whether high-end devices in tertiary hospitals or lightweight terminals in primary care settings, all can seamlessly integrate intelligent diagnostic and therapeutic capabilities. Insufficient computing power? Slow data processing? These traditional pain points have been thoroughly overcome, enabling AI-driven healthcare to truly achieve “deployment wherever needed.”

Powered by robust technological support, SHUKUN’s AI-enabled ultrasound systems deliver a comprehensively upgraded diagnostic and therapeutic experience for both physicians and patients. Available in three form factors—cart-based, portable, and handheld—these intelligent ultrasound devices empower clinicians to make rapid and accurate diagnoses across diverse clinical scenarios, significantly reducing patient wait times and enhancing the overall healthcare experience.

The medical large-model intelligent computing all-in-one machine, jointly launched by SHUKUN and Huawei, meets the diverse large-model application needs of hospitals at all levels. From county-level hospitals to top-tier tertiary Grade A hospitals, and from regional central hospitals to public health systems, the all-in-one machine enables every hospital to “access and afford AI” by optimizing resource scheduling and reducing costs, allowing each institution to achieve:

Cost Reduction and Efficiency Enhancement — Optimizing Resource Scheduling to Lower the Threshold for Hospital Digitalization and Intelligence

Precision Diagnosis—AI Assistance to Improve Accuracy and Reduce Misdiagnosis and Missed Diagnosis

Accelerating Scientific Research: Large Models Empower Medical Research and Drive Industry Innovation

By integrating comprehensive solutions spanning digital-intelligent radiology, ultrasound, clinical specialties, hospital management, and primary care, SHUKUN’s AI-native hardware has established a complete ecosystem for digital and intelligent healthcare. This ecosystem breaks the “impossible triangle” of medical quality, patient experience, and affordability, enabling patients to access high-quality, convenient medical services at more reasonable prices. It truly makes premium healthcare readily accessible and opens up broad prospects for the future development of the healthcare industry.

At this year’s CMEF, SHUKUN made a high-profile launch of its Digital Human 4.0, instantly becoming the focal point of the industry. When asked by the media about the upgrades of Digital Human 4.0 compared to the previous year, Mao Xinsheng, Founder and Chairman of SHUKUN, responded as follows:

Over the past eight years, SHUKUN has remained steadfast in its commitment to original technological R&D, collaborating with numerous industry partners to drive a profound transformation in the field of medical imaging. Today, China’s AI applications in medical imaging have secured a leading position on the global stage. Currently, SHUKUN’s multimodal large language model has seen initial deployment, empowering Digital Human 4.0 to evolve into an open and borderless technical platform. Looking ahead, SHUKUN aims to leverage this platform to unite diverse stakeholders, further promoting broader and more comprehensive AI adoption in healthcare, continuing to lead global medical AI development, and enabling more people to benefit from high-quality medical services powered by cutting-edge technology. SHUKUN sincerely invites ecosystem partners to join us as we embark together on the vast and promising journey of medical AI.

Driven by the open, inclusive, and co-creative spirit of Digital Human 4.0, SHUKUN warmly invited numerous industry partners at this year’s CMEF to jointly launch the “SHUKUN Large Model Open Co-Creation Initiative: Converging Intelligent New Quality Productive Forces, Building a New Ecosystem for Healthy China.” This initiative embodies the grand vision of driving intelligent transformation in the healthcare industry and advancing the construction of a Healthy China.

At the lighting ceremony for the Digital Intelligence Public Health Initiative, Wang Dingfu, Party Secretary and Director of the Mianyang Youxian District Health Bureau; Li Yaofeng, Deputy Director of the Suzhou Wuzhong District Health Commission; and Wang Jun, Secretary-General of the Zhongguancun Standardization Association, jointly attended the event. They ascended the stage together to solemnly sign the cooperation agreement on digital intelligence public health and collectively illuminated the partnership light pillar. At that moment, the brilliant lights symbolized the official launch of collaboration among all parties and heralded a new chapter of vigorous development in the field of digital intelligence public health.

At the lighting ceremony for the Digital Intelligence Hospital, guests including Cao Shijie, Party Branch Secretary of Mianyang Youxian District People's Hospital, and Ding Wanfu, Director of the Information Department at Shenzhen People's Hospital, attended the event. They engaged in in-depth exchanges with SHUKUN and finalized a plan for the construction of the Digital Intelligence Hospital. The implementation of this plan will inject strong momentum into the hospital's intelligent upgrade and provide a reference model for the digital and intelligent transformation of the healthcare industry.

Finally, the atmosphere reached its climax during the “SHUKUN Inside” moment. Industry elites, including Tian Xuan, Head of Healthcare Informatics Business for Philips Greater China; He Yi, General Manager of Imaging in China at Mindray Medical; Shu Tianze, Director of Education and Healthcare Industries for Huawei Ascend Ecosystem; Zou Bo, Director of Healthcare Industry Ecosystem Cooperation at Huakun Zhenyu; Mao Xin, Chairman of Hunan Feique Medical Technology Co., Ltd.; Li Xiongbing, General Manager of the Domestic Marketing System at Zhongyuan Huiji Biotechnology Co., Ltd.; and Xie Jianhao, Chairman of Kaifulai Special Purpose Vehicle Co., Ltd., jointly took the stage to cut the ribbon for the inauguration ceremony.

Amidst the witness of all present, cascading ribbons marked the official launch of the SHUKUN Large Model Open Co-Construction Initiative. This historic moment embodies the expectations and determination of all parties involved, heralding greater innovation and breakthroughs in the digital intelligence transformation of the healthcare industry, as we join hands to stride toward a brighter future.