Only 20 milliseconds to identify each CT image
Detect 6 million CT images per day
Support simultaneous access of 64 users
Store tens of thousands of medical records and image data
99.999%
Support 8-route simultaneous detection
Detection time of each case is less than 2 seconds
8192GFlops
31 dB, ultra-quiet
225×203×128mm
2*19.5V/180W power adapter
HL7 (Healthcare Level 7) Health Information Open Data Exchange Standard
DICOM3.0 Digital Medical Imaging Communication Standard
IHE Integrated Healthcare Technology Framework
ASTM Laboratory Information System and Examination Equipment Interface Standard
EDI（Electronic Data Interchange）
EDI (Electronic Data Interchange) Transmission Format
Disease Classification Code ICD-10
Logical Observation Identifiers Names and Codes (LOINC)
Systematized Nomenclature of Medicine (SNOMED)
Basic Information Classification and Codes of Chinese Hospital Information System
Support JPEG image encryption algorithm based on DCT quantitative coefficient recombination
Thin-section CT screening of pulmonary nodule and aided diagnosis module
Simple application and interface, even doctors with no programming background can master and complete deep learning modeling after training
Only 10 milliseconds to identify each CT image
Detect 12 million CT images per day
Support simultaneous access of 128 users
Store tens of thousands of medical records and image data
99.999%
Support 8-route simultaneous detection
Detection time of each case is less than 2 seconds
16384GFlops
35 dB, ultra-quiet
656×218×443mm
500W power adapter
HL7 (Healthcare Level 7) Health Information Open Data Exchange Standard
DICOM3.0 Digital Medical Imaging Communication Standard
IHE Integrated Healthcare Technology Framework
ASTM Laboratory Information System and Examination Equipment Interface Standard
EDI (Electronic Data Interchange) Transmission Format
Disease Classification Code ICD-10
Logical Observation Identifiers Names and Codes (LOINC)
Systematized Nomenclature of Medicine (SNOMED)
Basic Information Classification and Codes of Chinese Hospital Information System
Support JPEG image encryption algorithm based on DCT quantitative coefficient recombination
Thin-section CT screening of pulmonary nodule and aided diagnosis module
Simple application and interface, even doctors with no programming background can master and complete deep learning modeling after training
Address: Room 1009, Building 1, F/10, Chang'an Center, Jinrongjie (Financial Street), No. 54 Shijingshan Road, Beijing
E-mail: bd@peredoc.com
