Meinian Onehealth Healthcare Showcases AI Innovations at 2026 Wuhu Health Conference and 12th Jinling Health Forum

Deep News05-27

From May 22 to 24, 2026, the "2026 Wuhu Health Conference & 12th Jinling Health Forum" was successfully held in Nanjing. The event was jointly organized by the Wuhu Conference Health Organizing Committee, the Zhongguancun Xinzhiyuan Health Management Research Institute, Jiangsu Provincial People's Hospital (the First Affiliated Hospital of Nanjing Medical University, Jiangsu Maternal and Child Health Hospital), and the Physician Health Management and Physician Health Insurance Professional Committee of the Jiangsu Medical Doctor Association. Meinian Onehealth Healthcare Holdings Co.,Ltd. dispatched nearly 90 core medical professionals to participate, engaging deeply in academic discussions and absorbing cutting-edge industry concepts to enhance the quality and upgrade of its corporate health management services through exchange.

At the conference, Chen Wurong, Deputy General Manager of the Medical Management Center at Meinian Onehealth Healthcare Holdings Co.,Ltd., delivered a keynote speech titled "Digital Intelligence Empowerment • Proactive Health: Meinian AI Redefines the Value Boundaries of Physical Examinations and Health Management." The presentation comprehensively showcased the implementation outcomes of Meinian's "All in AI" strategy, systematically illustrating how AI technology is integrated throughout the entire process—pre-examination, during examination, and post-examination—providing solutions for the industry's digital and intelligent upgrade and proactive health services.

In 2024, Meinian Onehealth Healthcare Holdings Co.,Ltd. officially launched its "All in AI" strategy and released "Health Xiao Mei," the first AI digital health management assistant in China. Relying on three foundational pillars—the BianQue Physical Examination SAAS Cloud Platform, the LIS Intelligent Laboratory System, and the PACS Intelligent Imaging System—Meinian has achieved digital and intelligent management of the entire physical examination process. Features such as time-slot appointments, intelligent triage, real-time data accounting, cloud-based image storage, and remote image reading have comprehensively enhanced operational efficiency and medical quality.

In terms of core medical AI applications, Meinian has developed five leading sectors: Super Intelligent Diagnosis, Smart Ultrasound, CT One-Scan Multi-Detection, AI Primary Examination, and AI Critical Abnormalities, establishing the industry's most complete AI application matrix. At the conference, Meinian demonstrated its already operational Smart Ultrasound System. This system has achieved a full-process AI reconstruction, utilizing AI-assisted diagnosis, structured reporting, and comprehensive quality control, paired with an embodied intelligent ultrasound robot. This establishes a five-tier quality control system, with ultrasound quality control standards consistently exceeding 90%, ensuring full traceability and homogenization.

Additionally, by incorporating Alibaba DAMO Academy's CT One-Scan Multi-Detection AI technology and combining it with Alibaba's PANDA model, Meinian has created a new model for multi-cancer screening using "Plain CT Scan + AI." The sensitivity and specificity for screening cancers such as pancreatic, esophageal, gastric, intestinal, and liver cancer have reached internationally advanced levels, with accuracy close to or surpassing that of manual reading of contrast-enhanced CT scans. The PANDA model has received the FDA's Breakthrough Device designation. It also enables a single CT scan to simultaneously screen for heart, lung, and bone conditions, completing assessments for coronary artery calcium scoring, pulmonary nodules, and osteoporosis in one step, significantly improving early screening efficiency and value.

The AI Primary Examination automatically aggregates abnormalities and integrates conclusions using a unified approach, generating understandable, high-quality reports accompanied by risk warnings and accessible science popularization. The AI Critical Abnormalities Reporting system achieves real-time, second-level identification, automatic reporting, and timely notification, increasing the detection rate of critical abnormal results by 23.3%, using technology to outpace the progression of disease.

Furthermore, as China's first AI digital health management assistant, "Health Xiao Mei" has been integrated into the Ant A-Fu platform. It can create digital health records and three-dimensional digital human twins, providing full-cycle services such as report interpretation, risk assessment, plan formulation, and follow-up tracking, truly fulfilling the service promise of "3-hour examination, 365-day service."

Currently, Meinian is firmly promoting four major transformations: For enterprises, shifting from single annual physical examination services to comprehensive corporate health service guarantees. For individuals, transitioning from traditional, single-package product structures to AI-driven personalized, customized packages and discipline-driven single-disease major products. Within medical facilities, evolving from traditional assembly-line physical examinations to intelligent, tech-savvy, automated, and refined processes, and from single examination departments to "precision physical examination + light treatment + comprehensive medical services," vigorously developing research-oriented examination centers. Outside medical facilities, moving from single report delivery and interpretation to data-driven, deeply integrated AI health management doctors plus specialized disease solutions for long-term health services and health consumption.

In the future, Meinian Onehealth Healthcare Holdings Co.,Ltd. will continue to deepen the integration of AI technology and health management, accelerating its upgrade from a leader in health examinations to a pioneer in digital and intelligent health management. By empowering proactive health with technology, it aims to create a replicable and promotable Meinian model for the Healthy China strategy.

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