On April 29, Meinian Health (002044.SZ) released its first quarter financial report for 2025. Data showed that the company achieved operating income of 1.754 billion yuan in the first quarter, of which the main revenue achieved by relying on AI technology exceeded 54 million yuan, an increase of 71.76% over the same period last year. Its business scope covers the fields of cardiopulmonary joint screening, AI-MDT report, pharynin, fundus AI, and Naoruijia. This data not only shows the growth momentum of Meinian Health in the field of "AI+Health Management", but also marks a substantial breakthrough period in which the "AI+Health" model has moved from the stage of technological exploration to large-scale applications.

AI full-chain empowers physical examination services to build a new ecological environment for intelligent health management

Meinian Health takes "AI+medical" as its core strategy and conducts intelligent transformation around the entire physical examination process, creating a full-chain AI service system covering pre-, during and after examinations.

In the pre-examination stage, Meinian Health provides customers with customized physical examination package customization services through AI technology. For group customers, the system can automatically generate differentiated physical examination plans based on their region, industry, job composition and past years of physical examination results, covering the diverse needs of different positions, genders, and ages, and accurately refine the basis for package options. For individual customers, the platform generates basic packages based on age, gender, and national 1+X physical examination items. At the same time, combined with previous years' physical examination data, health questionnaires and other information, it further optimizes customized plans to ensure the accuracy and pertinence of physical examination items.

During the inspection process, Meinian Health has achieved intelligent management throughout the entire process. Through tools such as intelligent group order schedule, intelligent personal inspection reservation, self-service registration and intelligent medical guidance, the customer experience has been improved. When abnormal symptoms are found during the examination, the system can automatically recommend in-depth screening items based on the customer's previous medical history and other departmental examination results, and prompt the supplementary basis in real time on the mini program to facilitate doctors to communicate with customers, achieving seamless connection from routine screening to precise diagnosis.

In terms of post-examination services, Meinian Health relies on the "Healthy Xiaomei" AI Digital Intelligent Health Management Manager and AI-MDT multidisciplinary collaborative diagnosis and treatment model to provide customers with personalized health management solutions. The main examination AI system based on Huawei Pangu big model training can generate intelligent physical examination reports in combination with health questionnaires and clinical guidelines. At the same time, "Healthy Xiaomei" provides 24-hour companionship services, track the implementation of health management plans in real time, dynamically adjust intervention measures, and form a closed-loop service of "detection-evaluation-intervention-management". As of the end of March 2025, the "Healthy Xiaomei" intelligent main examination application has been launched in 109 physical examination centers, reviewing and generating more than 390,000 physical examination reports, and the daily processing capacity of the main examination doctor has been significantly improved.

Dual-wheel drive of discipline construction and product innovation to create differentiated competitive advantages

Meinian Health focuses on the construction of eight core disciplines and deeply penetrates medical scenarios through AI technology. In the field of ultrasonic intelligence, Meinian Health and partners have jointly built an "ultrasound quality control model" to integrate 100 million ultrasonic image data and leading algorithms, realizing standardized identification of operation techniques, automatic detection of lesion positioning and quality control errors. AI's real-time sound prompts and automated analysis functions help doctors shorten the time for single cases, especially in high-frequency examination areas such as thyroid and breast. Doctors can focus more on complex case judgments. At the same time, through standardized process assessment and AI coordination, not only reduce labor costs, but also improve the employment rate of young doctors and department management efficiency, and promote the intelligent upgrade of ultrasound examination from screening to diagnosis and treatment.

Meinian Health continues to launch specialized and new AI products such as lung health, brain health, liver health, blood sugar management, and gastrointestinal health. Among them, Feijiening and Naoruijia, created based on chronic disease management, are the most representative star products. In the process of deepening product innovation, Meinian Health actively innovates screening models, such as launching the "CT One Scan Multiple Checks" intelligent system. Through the low-dose spiral CT flat scanning technology, the three core functions of pulmonary nodule risk assessment, coronary heart disease risk assessment and osteoporosis risk assessment can be synchronized in a single examination, significantly improving screening efficiency and promoting the upgrade of precise early screening from a single point breakthrough to a systematic solution. At the same time, among the solutions of CT scan and multiple checks, for people with abnormal bone density detection, Capital Medical University and Feihe Group jointly launched effective bone health product solutions, and combined with insurance protection, the use effect is achieved to achieve a closed loop of health management review and repurchase.

After inspection, market in-depth expansion of AI-driven second growth curve

Meinian Health takes the "group to individual" model as its core and promotes the upgrade of the post-examination market from traditional physical examination services to full life cycle health management. Through the "full journey customer operation" and "private domain fission" strategies, "2-hour detection" is extended to "365-day health management" to activate the deep needs of individual customers. In 2025, Meinian Health consolidated the basic group inspection through the dual channels of "Six Major Systems Government, Enterprise, and Customer Breakthroughs" and "Stable Growth of Ordinary Group Singles", and at the same time increased the scale of individual inspections through public and private domain channels, optimizing the proportion of group inspection customers. For example, by refining the three major scenarios before, during and after inspection and 12 key actions, a C-end private domain is built, and a one-stop solution of "physical examination + special inspection + health management + insurance" is provided to improve customer stickiness and repurchase rate.

Based on the medical model, Meinian Health has built a "multi-intelligent" collaboration platform, covering multiple scenarios such as sales, physical examinations, main examinations, and blood sugar management. "Meinian Xiaoxing" sales agent assists in improving sales conversion rates by learning sales crown speech and medical knowledge; individualized physical examination agents combine multidisciplinary expert wisdom and big data to drive the dynamic optimization of disease risk assessment models, creating a closed loop of "precision warning-diagnosis-intervention"; AI main examination doctors' intelligent body integrates massive physical examination data and medical literature to improve the quality of the main examination report and empower the hospital to reduce costs and increase efficiency; blood sugar management intelligent body "Sweet Bean" integrates the "three divisions co-management" model and dynamic monitoring equipment to provide personalized blood sugar management solutions; AI precise nutrition intelligent body and traditional Chinese medicine health management intelligent body provide customers with customized health solutions from the perspective of nutrition and traditional Chinese and Western medicine. The coordinated operation of these agents not only reconstructs the health management process, but also creates a new era of personalized and precise services.

In addition, Meinian Health actively deploys wearable devices and robot scenarios, integrates multi-modal physical examination data and dynamic health data, and builds a full-chain management closed loop of "in-hospital screening + out-of-hospital monitoring". In the field of robots, explore the applications of autonomous scanning ultrasonic robots and physical examination robots, such as actively exploring robot interaction control technology, using embodied intelligent models, breaking through the bottleneck of ultrasonic examination in the future, and replacing manual ultrasonic scanning tasks; at the same time, it is planned to configure AI service robots in the branch to realize functions such as welcome, guide, and consulting, and improve service convenience and sense of technology.

Industry demonstration effect highlights AI launches a trillion-level new track for health management

Founder Securities Research Report pointed out that Meinian Health is accelerating its upgrade from a physical examination service provider to an AI health management solution platform, and the "AI-driven specialized disease early screening product matrix and intelligent health management platform" form a dual engine of performance growth.

In the future, Meinian Health will continue to aim to "increase revenues diversified, reduce costs scientifically, and create ultimate product strength and service experience", deepen the application of AI technology in discipline construction, product innovation, post-inspection management and other fields, and expand trillion-level tracks such as silver economy, health management, and data elements.

[Editor in charge: Wang Yuqi]