At a critical juncture where medical AI is entering the deep waters of specialization, Alibaba Health officially launched its first product based on its self-developed medical large model — "Hydrogen Ion." This application has completed internal testing and is now available for download. Designed specifically for doctors at the front lines of clinical and research work, it is positioned as the "Doctor's GPT," with the core goal of directly addressing current industry pain points: **significantly reducing AI hallucinations, ensuring that every answer is traceable and verifiable**.
"Hydrogen Ion" is not a general-purpose chatbot, but rather a specialized intelligent agent focused on medical scenarios. Its greatest feature lies in its "low hallucination, high evidence-based" architecture: all generated content is based on authoritative medical databases, clinical guidelines, and core journal literature in Chinese and English, and supports one-click access to original sources. Whether interpreting the latest treatment consensus, comparing drug efficacy, or summarizing cutting-edge research on a certain disease, the system can automatically mark the evidence level and source, allowing doctors to obtain information in seconds while maintaining their professional judgment independently.
Several doctors from top-tier hospitals who participated in the internal testing reported that "Hydrogen Ion" performs outstandingly in complex clinical questions, multi-source evidence integration, and precise reading of research literature, especially when handling Chinese medical context and local treatment standards, significantly outperforming existing international tools. Its interaction logic is similar to the popular overseas product OpenEvidence, but it has more localized advantages in terms of coverage of Chinese literature, medical insurance drug compatibility, and synchronization with domestic guidelines.
The release of this product comes at an opportune time. Currently, although general large models have been widely integrated into medical scenarios, they often produce high-risk hallucinations due to a lack of professional constraints, making them difficult to adopt in clinical settings. AI tools that are truly aimed at professional doctors and grounded in evidence-based medicine remain rare in China. The emergence of "Hydrogen Ion" fills this gap.
