2025 Hackathon competition concludes: targeting clinical pain points, giving birth to innovative medical AI agents.

Recently, the "2025 AI for Healthcare Hackathon", jointly initiated by YIDU TECH (02158), the Tsinghua Alumni Association's Life Sciences and Healthcare Committee, and the Tsinghua Alumni Association's AI Big Data Committee, successfully concluded in Beijing. This event gathered diverse innovative forces from top-tier hospitals, prestigious universities, and technology companies, with the majority of teams formed with interdisciplinary backgrounds. It went beyond traditional technology competitions, evolving into a "medical AI industry innovation resonance guided by real needs, powered by intelligent entities, and supported by open platforms". Ultimately, a group of AI medical intelligent body projects emerged with both cutting-edge technological vision and clinical implementation potential. Professional judging panel from industry, academia, and research, with full support from open platforms The event invited experts from various fields in industry, academia, and research to participate as judges, including industry experts such as the Secretary-General of the Tsinghua Alumni Association's Life Sciences and Healthcare Committee, Yongping Yu, expert from the China Institute of Information and Communications Research, Fei Jia, as well as technical and clinical experts such as Li Dong, Director of the Medical Data Science Center at Tsinghua Chang Gung Hospital, and Yang Chao, Deputy Director of the Data Intelligence Center at Peking University First Hospital. Industry experts from YIDU TECH, CFO Zhao Xiaoying, Dr. Li Linfeng, Vice President of Technology Innovation at YIDU TECH, were part of the panel, along with capital perspectives from Sun Motao, Vice President of Medical Innovation at Qiming Venture Partners, and Bao Yuzhe, Vice President of Investments at YDCapital. Multiple dimensions of evaluation criteria were utilized, focusing not only on technological innovation but also on clinical feasibility and industry value. Apart from establishing a fully integrated professional judging panel, this event also had deep involvement from invited observers, including Sun Boyang, Deputy Secretary of the Olympic Village Street Committee of the Chaoyang District Committee in Beijing, and Chen Ge, Head of the Industrial Specialized Class at the Olympic Village Street Committee, and Yang Longren, official at the Industrial Two Department of the Chaoyang Garden Management Committee of Beijing Centergate Technologies. In just a short half-month competition period, numerous high-quality intelligent bodies were rapidly formed and showcased their potential, thanks to the systematic support provided by YIDU TECH's medical AI intelligent body development platform. The platform opened up core capabilities such as large models and knowledge bases to the participating teams, as well as provided systematic pre-competition training covering technical tools and scenario understanding, thus establishing a support system that significantly reduces the development and implementation barriers for AI medical applications. Project highlights abound: Intelligent bodies in multiple scenarios resonate with medical innovation The award-winning projects from this event covered core medical scenes such as clinical research, diagnosis and treatment, management, and services, achieving precise integration of "technological innovation" with "clinical needs": Reshaping research paradigms: The first prize-winning project, the "Clinical Trial Intelligent Inclusion Audit Intelligent Body", achieved end-to-end intelligence for inclusion audits for the first time - by intelligently capturing data from tests, medical records, and providing accurate judgment results and traceable evidence, it solved industry pain points of "error-prone and time-consuming" inclusion condition audits for clinical trial participants, facilitating efficient and compliant trials. Empowering precise clinical services: Participating projects leveraged large model technology to cover multiple diseases and scenarios ranging from rare diseases to chronic diseases, from solid tumors to mental health, from single diagnosis and treatment processes to comprehensive disease management. These included the "RarePilot Rare Disease Assistant Diagnostic Intelligent Body" addressing pain points in rare disease diagnosis and treatment, the Hepatitis B Cure AI Assistant built on workflow technology, the "Pancreatic Pathway" platform focusing on pancreatic cancer prevention and treatment, the intelligent digital therapy platform based on CBT-I insomnia cognitive therapy, and the medical general prediction intelligent body covering core scenarios such as critical illness, electrocardiogram, and ultrasound - these innovations collectively expanded the boundaries of clinical services, driving diagnosis and treatment towards greater precision and personalization. Upgrade medical management and services: In addition to focusing on diagnosis and treatment and research, a batch of participating projects continued to innovate around enhancing medical management efficiency and service quality: the medical AI intelligent audit system decoded audit pain points and improved audit efficiency; the tumor comprehensive ICD intelligent coding intelligent body revolutionized case management and supported lean operations; the "AI Drug Code Knowledge" intelligent drug guidance assistant provided medication guidance to patients; the "AI Health Rumor Refutation Officer" purified the health information space; the AI Assistant for Foreigners Seeking Medical Treatment in China promoted the landing of cross-border medical services; the AI psychological counseling quality inspection and personalized growth platform assisted in the standardized development of the psychological counseling industry. YIDU TECH CFO Mrs. Zhao Xiaoying presents the first prize winners As the event comes to a close, innovation persists The achievements of this Hackathon are not just scattered project highlights, but also vividly outline the collective image of the next generation of AI healthcare intelligent bodies. The common characteristics of these intelligent bodies are delving into vertical scenarios, understanding complex intentions, performing multi-step tasks, and collaborating with human experts. Yongping Yu, Secretary-General of the Tsinghua Alumni Association's Life Sciences and Healthcare Committee, emphasized in his review the need to seize the opportunity of the "AI + healthcare" era by focusing on high-value segmented scenarios, partnering with quality technology platforms, and building sustainable service models for the broader user base. With these innovative teams from diverse backgrounds bringing the results and inspiration of the competition back to their respective fields across the globe, the "cross-border collaborative creation" ignited by this Hackathon will continue to illuminate a new journey for Chinese medical AI, moving from single breakthroughs towards systemic empowerment, and from technological exploration towards inclusive value. Hackathon finals group photo