Advantages

  • Full-stack Medical Cloud Services
    In addition to basic cloud computing services from storage of massive medical images to medical data backup, Ping An Cloud provides a wide range of E2E cloud services for smart medical applications.
  • Massive Medical and Disease Models and Data
    We provide 500-plus disease models covering 600 million potential people to be screened, leading medical expertise and evidence bases, a library of millions of medical images, and high-quality data.
  • Leading Medical Application Technologies
    We have world’s No.1 application technologies in areas of pulmonary nodules, stomach cancer and diabetic retinopathy; and over 500 scientists from top universities and companies.
  • Extensive Coverage of Medical Applications
    We cooperate with more than 100 hospitals (nearly 20 have applied pulmonary nodule screening and bone age detection products) and health administrations, covering about 15% of the population.

Typical Business Scenarios

Overview

Based on big data, AI and machine learning technologies, the solution provides customized prevention and intervention schemes for targeted groups through disease risk analysis and using expertise.

Value Proposition

It provides predication models for more than 20 individual diseases under the three major disease categories, namely cardiovascular and cerebrovascular diseases, chronic diseases, and diabetic complications; precisely identifies high-risk groups and provides customized prevention and intervention suggestions, helping customers improve their health through health self-management.

Overview

Based on Ping An Image Cloud and smart image analysis engine, the system provides ophthalmic institutions at all levels with multimode image integration and whole-process smart assistance solutions for hierarchical diagnosis and precise medicine.

Value Proposition

Smart quality control and optimized reading of multimode ophthalmic images

Screening of common ophthalmic diseases

Multimode imaging assisted diagnosis

Solution Architecture

Solution Overview

  • The solution utilizes AI technologies and integrates medical big data and medical knowledge graphs, supporting multiple cloud service modes such as proprietary cloud, public cloud and private cloud.

Advantages

  • Automatic triage and guidance integrating big data and knowledge
  • Deep learning-assisted image screening
  • Knowledge-driven and data-driven customized precise treatment system
  • Smart patient education and follow-up visit system, with automatic Q&A and multi-round dialogue technologies and supporting voice access

Value Proposition

  • Save consultation time and improve efficiency through smart pre-consultation/triage
  • Provide real-time feedback for patients through smart image screening to save medical resources and improve patient satisfaction
  • The customized precise treatment system improves medical quality by providing doctors with comprehensive support for making diagnosis and treatment decisions
  • The smart patient education aide automatically provides follow-up visits and patient education to reduce the burden on doctors

Typical Use Cases

Smart Pulmonary Nodule Screening Project of Longli County Hospital, Guizhou Province

Achievements

Since the implementation of the project in the Ward Department, nearly 1,000 lung image scanning reports have been generated, finding about 60 patients with pulmonary nodules, including one with suspected pulmonary nodules and referred to a public Grade III Class A hospital.

Business Value

The project conducts primary screening of diseases for medical workers, helping grassroots medical institutions to improve efficiency and medical diagnosis;

More precise diagnosis helps local patients eliminate save the procedure and cost of visiting higher-level hospitals;

For health care administrations, the hierarchal diagnosis and treatment have enhanced the grassroots medical service capability.

Success Stories

  • Ruijin Hospital, School of Medicine, Shanghai Jiaotong University
  • Huashan Hospital, Fudan University
  • Renji Hospital, School of Medicine, Shanghai Jiaotong University
  • Changchun Children’s Hospital
  • Fudan University Shanghai Cancer Center
  • Eye & ENT Hospital of Fudan University
  • Children’s Hospital of Shanghai
  • The Third People’s Hospital of Datong
  • The Fourth People’s Hospital of Datong
  • The Fifth People’s Hospital of Datong
  • Jincheng General Hospital

Call us

400-151-8800

Email us

cloud@pingan.com

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