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Inspection report document identification
Structured identification is carried out for documents related to common inspection reports in medical scenarios, including medical inspection reports and medical diagnosis reports, which can be applied to online intelligent inquiry, electronic entry of patient information and other scenarios
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Product List
Identification of medical inspection report
It supports the identification of the name, hospital name, report name and other fields of medical inspection reports across the country, as well as specific inspection items
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Identification of medical diagnosis report
Identify the medical diagnosis report sheet in various formats nationwide, including 14 fields, including hospital, report name, inspection position, inspection findings, and inspection tips
Technical Documentation
Application scenarios
Online intelligent consultation
Electronic entry of doctor-patient information
Online intelligent consultation
Users upload various examination reports, automatically identify and extract key field information, improve doctors' interpretation efficiency, and provide users with more rapid and comprehensive personalized health guidance
Cooperation cases
Characteristic advantages
High accuracy
Special optimization was carried out for the common text skew, bending and other situations of the documents related to the medical examination report, with high recognition accuracy
Fast recognition speed
The average recognition time of a single image is less than 2 seconds, and the efficient data processing speed effectively improves the user experience
Usage
Public cloud service
Provide various cloud PaaS interfaces for text recognition. You can directly call the API or use the HTTP SDK to identify the text in the picture. You can go to the console to try it for free
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API documentation
Privatization deployment
Deploy to the local server, realize the character recognition function in the LAN/intranet, without connecting to the public network, ensure data privacy, and provide two privatization schemes of all-in-one machine and software deployment package
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Scheme introduction
Support communication
Novice Guide
Basic introduction of access to AI services, including account authentication, application creation and management, authentication mechanism, FAQs, etc
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Technical Documentation
For developers using API or HTTP SDK, provide development documents of Baidu character recognition service
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SDK download
Support multiple programming languages such as Android, iOS, Java, PHP, Python, C++, C #, Node.js
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Medical invoice identification
Key fields such as business serial number, invoice number, inpatient number, outpatient number, case number, name, gender, social security card number, amount in figures, payee, province and city can be identified for outpatient/inpatient invoices across the country
Identification of medical expense details
Support the identification of key fields such as name, date, patient ID, and total amount of national medical expense details, and support the identification of expense detailed item list
Identification of medical expense statement
It supports the identification of six key fields of the national medical expense statement, including name, admission/exit time, total invoice amount, self expense amount, and medical insurance payment amount
Universal character recognition
It provides multi scene, multi language, high-precision whole picture text detection and recognition services, and many ICDAR indicators rank first in the world
IOCR Universal
Combine multiple image processing technologies to automatically classify various bills and cards, and output recognition results in a structured way
EasyDL OCR
Customized training OCR model, structured output of key field content, to meet the needs of card and bill recognition in multi format scenarios, and sustainable model iteration
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique
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Scenario application
Cooperation consulting
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Intelligent diagnosis to quickly solve the use problem
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