On June 12, the Hong Kong-listed digital health enterprise Qingsong Health Group (02661) officially launched the world's first evidence-based medical AI eyewear system—Evidence Lens—at the Consumer Electronics Show Asia (CES Asia).

Evidence Lens is a clinical support system built for real-world medical scenarios such as consultations, ward rounds, patrol visits, consultations, and follow-ups. It uses AI glasses as a first-person perspective entry point and centers on Qingsong Health's self-developed evidence-based medical intelligence agent, "Zheng Yuanfang."

It is understood that the Evidence Lens system utilizes the AI glasses to handle front-end perception and on-site interaction capabilities. It connects in the background to Zheng Yuanfang's abilities in evidence-based medical comprehension, clinical semantic recognition, multimodal information processing, and structured report generation. This can assist doctors in mobile diagnosis and treatment settings with tasks like information collection, condition understanding, case organization, knowledge retrieval, cross-language communication, and collaborative diagnosis.

The launch of Evidence Lens signifies that Qingsong Health is extending its evidence-based medical intelligence agent from online Q&A and text assistance further into doctors' actual workflows and the frontline of clinical practice. This explores a pathway for medical AI to evolve from "tool application" to "system-level capability."

With the rapid development of multimodal large language models, wearable terminals, and intelligent interaction technologies, AI glasses are becoming a crucial entry point for artificial intelligence into real-world scenarios. Currently, most AI glasses on the market focus on applications like consumer recording, office collaboration, translation, and imaging. Medical scenarios, however, impose higher demands for information accuracy, semantic understanding, evidence sourcing, privacy compliance, and process adaptation.

The focus of the newly launched Evidence Lens is not on the hardware form itself, but rather on integrating "first-person perspective capture—medical semantic understanding—evidence-based support—clinical record generation—remote collaboration and knowledge retention" into a complete system for clinical assistance.

Unlike traditional voice recording tools or general-purpose large model applications, the core capability of Evidence Lens comes from the evidence-based medical intelligence agent "Zheng Yuanfang."

Zheng Yuanfang is built upon authoritative medical literature, clinical guidelines, and professional knowledge systems. It can provide doctors with traceable, verifiable medical evidence support and covers authoritative Chinese medical guidelines, making it better suited to China's clinical environment and the practical needs of its doctors.

Through Evidence Lens, Zheng Yuanfang is no longer confined to desktop applications or chat windows but enters doctors' mobile work scenarios such as ward rounds, patrol visits, and consultations, providing assistance at the very point where clinical information is generated.

During use, Evidence Lens can collect, recognize, and organize multi-source information surrounding doctor-patient conversations, bedside communication, examination reports, imaging screenshots, physical sign photos, device interfaces, and consultation materials. It performs multimodal analysis on files, images, videos, and audio to form a complete, traceable, and structurable context of the diagnostic and treatment scene.

Evidence Lens can assist in generating consultation summaries, ward round notes, case highlights, consultation minutes, referral summaries, and follow-up reports. This reduces doctors' repetitive documentation work and enhances information completeness and collaboration efficiency.

In outpatient consultation scenarios, it can assist in extracting patient complaints, present illness history, past medical history, medication history, allergy history, and follow-up questions to generate structured consultation summaries. In inpatient ward round scenarios, it can summarize changes in condition, test and examination results, execution of medical orders, and bedside communication content to aid in creating ward round records. In remote consultation scenarios, it can synchronize the doctor's first-person perspective while organizing case materials and facilitating expert collaborative judgment, improving the efficiency of complex case discussions.

Simultaneously, Evidence Lens supports real-time multilingual translation with medical semantic preservation, serving scenarios such as international healthcare, cross-border medical services, and communication with multilingual patients.

For China's healthcare environment, the value of Evidence Lens lies not only in launching an AI medical hardware system but also in promoting the diffusion of high-quality medical capabilities to primary care levels.

Primary care undertakes a large volume of tasks involving common diseases, frequently occurring illnesses, chronic disease management, follow-up visits, and public health services. However, gaps remain in clinical experience, expert resources, guideline accessibility, and standardized diagnostic capabilities.

By embedding the evidence-based medical intelligence agent into the doctor's first-person perspective, Evidence Lens holds the potential to provide primary care doctors with immediate, traceable, and reusable medical knowledge support in scenarios such as primary care consultations, community patrol visits, family doctor services, county-level medical alliances, and remote consultations.

Qingsong Health Group believes the key to medical equity is not for AI to replace doctors, but to use technology to lower the barrier to accessing high-quality medical capabilities.

Evidence Lens can help primary care doctors complete consultation records more systematically, identify potential risks more promptly, organize case materials and referral summaries more efficiently. It also enables specialist doctors from higher-level hospitals to obtain more complete on-site information during remote collaboration, thereby improving the quality, efficiency, and continuity of primary care services.

For medical institutions, Evidence Lens helps reduce repetitive documentation work for doctors, enhances the completeness of diagnostic information and the efficiency of consultation collaboration. It also transforms key experiences from consultations, ward rounds, patrol visits, consultations, and follow-ups into reusable medical knowledge assets.

For patients, Evidence Lens helps more people, especially those in primary care and county-level areas, access more standardized, continuous, and compassionate medical services closer to home.

Moving forward, Qingsong Health Group will continue to collaborate with medical institutions, primary healthcare facilities, clinical experts, and medical education settings. It will conduct pilot co-creation projects across various medical scenarios to promote the genuine integration of evidence-based medical intelligence agents into frontline clinical work, aiding the equitable diffusion of China's medical service capabilities.