AI Medical Application Platform

The first approved Large AI Models competent for providing full-process disease diagnosis and treatment suggestions.

Problems We Solve

Insufficient clinical reasoning and differential diagnosis.

Inaccurate diagnostic auxiliary examination plans.

Insufficient diagnostic logic and diagnostic typing.

Incomprehensive treatment plan design.

Smart Clinical Diagnosis & Treatment

An AI diagnostic assistant for doctors' daily diagnosis and treatment tasks.

Personalized Intelligent Agent

Hospital / Department / Doctors Personalized Intelligent Agent

Exclusive intelligent avatar creation
Deep integration with hospital internal data
Multi-scenario professional empowerment
Convenient and open operation experience

AI-assisted Diagnosis & Treatment

AI's auxiliary functions in the medical field

Evidence-based support and explainability traceability
Assisted diagnosis & treatment plan recommendation

Medical Record Document Auxiliary Generation

Provide medical record generation function for clinicians

Intelligent collection of patient condition information: Use an AI assistant to conduct pre-consultation dialogues with patients and collect patient condition information online.
Intelligent reminder and one-click generation: The AI intelligently reminds pending documents. Doctors can generate a draft with one click, and fill it back with one click after confirmation, significantly reducing the document workload.

Medical Record Document Auxiliary Generation

AI Master Inspection Report Generation

Automated generation of master inspection reports

We can seamlessly connect with HIS, LIS, PACS and other systems,Retrieve patient examination, imaging, medical history and other multi-dimensional physical examination data in real time, efficiently integrating and analyzing all patient examination data, automatically generating structured, accurate, and standardized master inspection reports.

Smart Disease Management

Human-machine combined personalized patient follow-up and operation management services

Combining post-diagnosis follow-up with operational services to optimize post-diagnosis service effects and enhance patient stickiness.

For Doctors

AI generates personalized follow-up plans, improving management efficiency.

Based on patients' data analysis AI generates plans, doctors review and confirm Intelligent reminders and active follow-up Intelligent agent Q&A and health education Symptom monitoring and risk warning

For Patients

Receive post-diagnosis service support, active consultation

7*24 hour assistance with automated real-time data retrieval; Follow-up Interactions & Educational Reminders: Interactive education and reminders enable continuous tracking of rehabilitation progress against goals. Family member collaboration: Support family members joining groups, synchronizing information, jointly promoting recovery.

Operations & Customer Service

Enterprise WeChat intelligent tool for post-diagnosis patient operation and customer service.

Fully or Semi-Managed Conversations: Streamlining customer service operations. Intelligently analyze patients' needs, recommend conversation scripts, and accurately recommend corresponding services. Improving patient reach effectiveness, enhancing patient stickiness.

Management

Combining follow-up and operations

Standard follow-up path management: Supports configuring follow-up paths according to different disease types, designing intelligent reminders for medical visits, medication, examinations, follow-ups, education, health tasks, etc.; Intelligent user tag classification: Collecting patient profile data through AI doctor-patient interaction, forming complete health records, providing support for health assessment and intervention guidance.

Smart Service Upgrade

Assisting hospitals in creating full-process smart services for patients.

AI Pre-consultation Services

Providing patients with health risk assessment, intelligent customer service, intelligent triage and guidance.

Physical Examination Center Service Item Recommendation

Based on individual age, gender, lifestyle habits, family medical history and other data dimensions, carefully customizing the most suitable physical examination items for each user.

AI Physical Examination Report Interpretation

We can provide detailed indicator interpretation for patients' examination results, generate report interpretation results, patients can ask follow-up questions for detailed understanding,Enhance the Patient Experience.

Intelligent Pre-consultation and Medical Record Report Services

Based on patient historical data, generate health records, provide AI health assessment, provide health management plans, generate health monthly reports.

Wide Range of Application Scenarios

Hospitals

Assisting hospital smart service ratings and high-quality development of hospital specialties.

Doctors

Customizing Doctor GPT for patient education and follow-up management, assisting in the standardized training of young doctors.

Medical Education

Interactive clinical guidelines, covering multidisciplinary diagnosis and treatment thinking training.

Primary Healthcare

Improving the efficiency of medical service personnel, automating pre-consultation questions, chronic disease management, condition tracking.

Medical Devices

Training your own professional guides, ready for sales in just one week, improving conversion rates.

Health Management Centers

Precise customer tagging, helping to easily convert and intelligently manage users.

Mature Application Cases

Cooperation Content: Pre-consultation

Cooperation Results:

Directly experience AI pre-consultation services in the hospital's public account and mini-program, the process is efficient and rapid, taking only a few minutes. The AI guides patients through a dialogue mode, conducting targeted in-depth inquiries to help doctors comprehensively grasp the patient's condition in advance, making the actual diagnosis and treatment process more precise and efficient.

Cooperation Content: Intelligent triage system and application of natural language processing technology in medical record generation.

Expected Results:

Will conduct deep learning by analyzing real doctor-patient communication and medical record data, combined with reinforcement training based on doctor feedback, to improve the model's reasoning ability, accuracy, and reliability. The goal is to develop an intelligent triage system and natural language medical record generation model that meets the needs of internet hospitals, thereby providing patients with more efficient and safer medical services.

Other Cooperative Institutions

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