Built on professional medical knowledge graphs and medicl LLM algorithms, the model covers general practice, including over 100 standard departments, 800+ symptoms and 2,000+ diseases.
Built on professional medical knowledge graphs and medicl LLM algorithms, the model covers general practice, including over 100 standard departments, 800+ symptoms and 2,000+ diseases.
Powered by medical AI algorithms, the system can intelligently understand patients' colloquial descriptions and accurately match them with professional medical terminologies. It can also identify specific intentions such as laboratory tests, physical examinations, medication use and surgeries, and then conduct targeted intelligent follow-up inquiries.
Powered by medical AI algorithms, the system can intelligently understand patients' colloquial descriptions and accurately match them with professional medical terminologies. It can also identify specific intentions such as laboratory tests, physical examinations, medication use and surgeries, and then conduct targeted intelligent follow-up inquiries.
The system intelligently processes the content of doctor-patient conversations, extracts key information including chief complaints, present illness history, past medical history and allergy history, and automatically generates structured pre-consultation reports for outpatient electronic medical records.
The system intelligently processes the content of doctor-patient conversations, extracts key information including chief complaints, present illness history, past medical history and allergy history, and automatically generates structured pre-consultation reports for outpatient electronic medical records.
Built on professional medical knowledge graphs and medicl LLM algorithms, the model covers general practice, including over 100 standard departments, 800+ symptoms and 2,000+ diseases.
Powered by medical AI algorithms, the system can intelligently understand patients' colloquial descriptions and accurately match them with professional medical terminologies. It can also identify specific intentions such as laboratory tests, physical examinations, medication use and surgeries, and then conduct targeted intelligent follow-up inquiries.
The system intelligently processes the content of doctor-patient conversations, extracts key information including chief complaints, present illness history, past medical history and allergy history, and automatically generates structured pre-consultation reports for outpatient electronic medical records.
Frequently
asked questions
Applicable to hospitals, Internet Hospitals, private health care groups, Regional Medical Consortiums, and other scenarios.
Currently supports online purchase. For the specific operation process, seePurchase Methods.
Currently supports API integration.
Frequently
asked questions
Applicable to hospitals, Internet Hospitals, private health care groups, Regional Medical Consortiums, and other scenarios.
Currently supports online purchase. For the specific operation process, seePurchase Methods.
Currently supports API integration.