
We are pleased to announce that CAIDE Systems Inc has launched m:Studio’s Research, capable of automatic data labeling for building diagnostic Artificial Intelligence (AI) models. We provide it with a free service.
The objective of this free service enables medical researchers to create disease diagnostic AI models using automatic labeling functions with CT or MRI images at their institutions. Currently, this service includes the brain lesion annotation but automatic data labeling of other human body parts will be provided through collaboration between service applicants and CAIDE.
When you apply for this service, CAIDE will create a user account on the DGX1 server. The user uploads patient data (Dicom or NIFTI files) including lesions to be labeled as inputs. As outputs, the returning labeled results are created through m:Studio’s automatic labeling functions. The user can download the labeled maps and use them for training. (uploaded data is anonymized and not reused and finally, all data is deleted when the project ends). For high-quality, high-performance lesion labeling, CAIDE uses two proprietary patent methods.
Please apply for this service via email (caideinfo@caidesystems.com). CAIDE Systems will review, select, and proceed with the project. At the same time, only 2~3 projects can be carried out so the service will be first provided to those who apply first (first-come & first service)
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Products


Deep Learning-Based Medical Research Platform
m:Studio Research is a packaged platform that allows users to operate multiple medical Deep Learning research projects. The platform is designed to support you for the detection of diseases and symptoms on body parts and organs. Deep Learning based algorithms can be developed with platform and for academic findings.


Online Diagnosis Platform for Individual
Cognitive artificial intelligence disease detection platform, m:Studio Individual will help eliminating human errors and reducing the cases of delayed diagnosis. The platform provides online diagnosis system with DICOM image files and finds out specific disease result within a minute via web browsers.
Deep Learning-Based Medical Research Platform
m:Studio Research is a packaged platform that allows users to operate multiple medical Deep Learning research projects. The platform is designed to support you for the detection of diseases and symptoms on body parts and organs. Deep Learning based algorithms can be developed with platform and for academic findings.
Online Diagnosis Platform for Individual
Cognitive artificial intelligence disease detection platform, m:Studio Individual will help eliminating human errors and reducing the cases of delayed diagnosis. The platform provides online diagnosis system with DICOM image files and finds out specific disease result within a minute via web browsers.
Mission
“By providing equal access to medical services, ensure the right to life regardless of one’s social and financial status.”


Goals
Provide user-friendly tools for consistent, accurate and fast diagnosis.
Develop a top-notch AI platform for analyzing images (Ultrasound, MRI CT and X-ray), electronic medical records, and genome data.

Mission
“By providing equal access to medical services, ensure the right to life regardless of one’s social and financial status.”

Goals
Provide user-friendly tools for consistent, accurate and fast diagnosis.
Develop a top-notch AI platform for analyzing images (Ultrasound, MRI CT and X-ray), electronic medical records, and genome data.
Address
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United States