Health Care
Management of surgical video
Management of skin disease video
Management of DICOM video
It provides AI learning data construction and labeling services
for systematic management of surgical videos and diagnosis of renal cancer.
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Building Healthcare AI Learning Data
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Annotation
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Surgical Video
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Healthcare big data platform
Retention Solution
- Surgical Video Management System
- It provides AI learning data construction and labeling services
for systematic management of surgical videos
and diagnosis of renal cancer.
Main Function
- Function of Surgical video search
- Video search functions are provided
according to various conditions,
allowing convenient viewing.
- Deployment Data
for Artificial Intelligence Learning - Building data for AI learning for recognition
technology based on video data
- Deployment Data
- Labeling Medical
and Diagnostic Information - Categorize and design healthcare information
with data labeling
- Labeling Medical
- Function of Surgical video search
- Video search functions are provided
according to various conditions,
allowing convenient viewing.
Deployment Performance
Establishment of Seoul National University Hospital Surgical Video Management System
NIA Artificial Intelligence Learning Data Establishment Project established and utilized a video storage and management system for operating rooms at Seoul National University Hospital
(2020)
Establishment of Surgical Video Management System at Boramae Hospital in Seoul
NIA Artificial Intelligence Learning Data Establishment Project established and utilized a video storage and management system for operating rooms at Seoul National University Hospital
(2020)
Establishment of Surgical Video Management System at Busan Hospital
NIA Artificial Intelligence Learning Data Establishment Project established and utilized a video storage and management system for operating rooms at Seoul National University Hospital
(2020)
It provides data building and labeling services for AI learning for
systematic management and diagnosis of skin disease-pre-reverse imaging materials.
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Deployment of Healthcare
AI Learning Data -
Annotation
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Skin disease video
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Healthcare
Big Data Platform
Retention Solution
- Management of skin disease video
- It provides data building and labeling services
for AI learning for systematic managemen and
diagnosis of skin disease-pre-reverse imaging materials.
Main Function
아이콘
- Deployment of AI Learning Data
- Collection and refining
of backward and forward data
아이콘
- Personal information non-identification
- Non-identification of personal information
according to masking processing
아이콘
- Management of task and progress
- Progress management compared to the target,
management by worker/disease
아이콘
- Annotation Tool
- Function of Lesion splitting and labeling
아이콘
- Validate data quality
- Accuracy and validation
Main screen
Deployment Performance
Establishment of Hepatobiliary Pancreatic CT Imaging Management System at Kyungpook National University Hospital.
As part of the NIA Artificial Intelligence Training Data Construction Project (Phase 2), which includes the establishment of AI data for hepatocellular carcinoma, gallbladder cancer, and pancreatic cancer imaging diagnosis,
Kyungpook National University Hospital has constructed and utilized a Hepatobiliary Pancreatic CT Imaging Management System.
(2020 ~ current)
Establishment of a Medical Data De-identification System for Fetal Ultrasound at Dankook University Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound has been established and utilized at Dankook University Hospital.
(2021 ~ present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Chung-Ang University Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging has been established and utilized at Chung-Ang University Hospital.
(2021-present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Seoul St. Mary's Hospital, Catholic University of Korea.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging has been established and utilized at Seoul St. Mary's Hospital, Catholic University of Korea.
(2021-present)
Establishment of a Pediatric Thoracic Medical Data De-identification System at Korea University Anam Hospital
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
we have established a pediatric thoracic medical data de-identification system at Korea University Anam Hospital for utilization.
Establishment of Chonnam National University Hospital’s Skin Disease Diagnosis Management System
NIA Artificial Intelligence Learning Data Establishment Project established and utilized a video storage and management system for operating rooms at Chonnam National University Hospital
(2020 ~ Present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Konkuk University Medical Center
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
we have established a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging at Konkuk University Medical Center for utilization.
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Kangwon National University Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging has been established and utilized at Kangwon National University Hospital.
(2021 ~ present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound at Busan National University Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound has been established and utilized at Busan National University Hospital.
(2021 ~ present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Ajou University Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging has been established and utilized at Ajou University Hospital.
(2021 ~ present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Kangdong Kyung Hee University Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging has been established and utilized at Kangdong Kyung Hee University Hospital.
(2021 ~ present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Korea University Guro Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging has been established and utilized at Korea University Guro Hospital.
(2021 ~ present)
Establishment of a Medical Data De-identification System for Fetal Ultrasound and Pediatric Thoracic Imaging at Keimyung University Dongsan Hospital.
As part of the 2021 NIA Artificial Intelligence Training Data Construction Project (Construction of AI Training Data for Fetal Ultrasound and Pediatric Thoracic X-ray),
a medical data de-identification system for fetal ultrasound and pediatric thoracic imaging has been established and utilized at Keimyung University Hospital.
(2021 ~ present)
It provides data building and labeling services for AI learning for
systematic management of medical images (DICOMs) and diagnosis of liver gallbladder.
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Deployment of Healthcare
AI Learning Data -
Annotation
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Medical Video
(DICOMs) -
Healthcare
Big Data Platform
Retention Solution
- Management of DICOM Video system
- It provides data building and labeling services for AI learning
for systematic management of medical images (DICOMs)
and diagnosis of liver gallbladder.
Main Function
아이콘
- Deployment of AI Learning Data
- Data collection and refining of Liver cancer,
gallbladder cancer, pancreatic cancer
아이콘
- Management of Daily data registration
- Management of Daily data registration
아이콘
- Management of task and progress
- Progress management compared to the target,
management by worker/disease
아이콘
- Annotation Tool
- Detection and labeling of lesions
아이콘
- Validate data quality
- Accuracy and validation
Main screen
Deployment Performance
Establishment of biliary-pancreatic and liver CT image management system for National cancer center
Establishment of CT image management of biliary-pancreatic and liver system at the National Cancer Center through NIA's artificial intelligence learning data (construction of data for liver cancer, gallbladder cancer, pancreatic cancer image diagnosis) project.
(2020 ~ Present)
Establishment of biliary-pancreatic and liver CT image management system for Kyungpook National University Hospital
Establishment of CT image management of biliary-pancreatic and liver system at the Kyungpook National University Hospital through NIA's artificial intelligence learning data (construction of data for liver cancer, gallbladder cancer, pancreatic cancer image diagnosis) project.
(2020 ~ Present)
Establishment of biliary-pancreatic and liver CT image management system for Gachon Gil University Hospital
Establishment of CT image management of biliary-pancreatic and liver system at the for Gachon Gil University Hospital through NIA's artificial intelligence learning data (construction of data for liver cancer, gallbladder cancer, pancreatic cancer image diagnosis) project.
(2020 ~ Present)
Establishment of biliary-pancreatic and liver CT image management system for Guro Korea University Hospital
Establishment of CT image management of biliary-pancreatic and liver system at the Guro Korea University Hospital through NIA's artificial intelligence learning data (construction of data for liver cancer, gallbladder cancer, pancreatic cancer image diagnosis) project.
(2020 ~ Present)
Establishment of biliary-pancreatic and liver CT image management system for Gangnam Severance Hospital
Establishment of CT image management of biliary-pancreatic and liver system at the Gangnam Severance Hospital through NIA's artificial intelligence learning data (construction of data for liver cancer, gallbladder cancer, pancreatic cancer image diagnosis) project.
(2020 ~ Present)
Establishment of biliary-pancreatic and liver CT image management system for Wonju Severance Hospital
Establishment of CT image management of biliary-pancreatic and liver system at the Wonju Severance Hospital through NIA's artificial intelligence learning data (construction of data for liver cancer, gallbladder cancer, pancreatic cancer image diagnosis) project.
(2020 ~ Present)
Establishment of biliary-pancreatic and liver CT image management system for Chonbuk National University Hospital
Establishment of CT image management of biliary-pancreatic and liver system at the Chonbuk National University Hospital through NIA's artificial intelligence learning data (construction of data for liver cancer, gallbladder cancer, pancreatic cancer image diagnosis) project.
(2020 ~ Present)
