DeepCheX® detects several abnormal lung findings on chest X-rays, triages normal and abnormal before doctors reading. The AI-assisted structure report system helps radiologists issue reports with few clicks. For hospitals’ lack of resources, DeepCheX® can help relieve doctors’ workloads and eliminate the experience gap. Physicians can reference AI results before radiologists issue the final report. Let DeepCheX® optimize your clinical workflow, save more time, and save more lives.
DeepCheX®
DeepCheX®
DeepCheX®
DeepCheX® detects several abnormal lung imaging findings shows below:
SARS-CoV-2
Tube Positioning
Pneumonia
Rib Fracture
Key Features
Usage Scenario
Smart Triage for Lung Abnormalities
DeepCheX® triages normal and abnormal before doctors reading chest X-ray images, helps doctors to dealing with patients with best priority.
DeepCheX® also assists triage at patient arrival, when infectious disease, such as SARS-CoV-2 and tuberculosis, is detected.
Usage Scenario
Accelerate Report Workflow
DeepCheX® detects several lung abnormalities on chest X-ray images and bounding box-marked in seconds. An AI-assisted structure report system, provides optimized workflow of issuing radiological reports with few clicks.
Usage Scenario
Improve Quality, Reduce Risks of Medical Malpractice
DeepCheX® provides doctors with second opinions to ensure there are no missing chest X-ray image readings.
The left image shows a female patient with rib fractures on the 5th, 6th, 7th, 8th, and 11th ribs. With AI-assists, doctors can easily find multiple fractures within seconds, avoiding the risks of miss reading. And also eliminate experience gaps with second opinions of AI models.
Usage Scenario
24/7 Available
DeepCheX® provides AI models trained by experienced. 24/7 available for every kind of chest x-ray related clinical situation, provides AI predictions immediately for emergencies.
Find Your Best Solution
On-Premise
Deploy the AI computing server inside your own in-house IT infrastructure. The system can fully integrate into your existing PACS environment with unlimited usage capacity.
Cloud
The highly flexible pay-as-you-go cloud solution is suitable for lightweight users, easily scale up and down as and when needed.
SUITABLE FOR:
- Referral Hospitals
- Academic Medical Centers
SUITABLE FOR:
- Reginal Hospitals
- Local Community Health Center
- Local Physician Clinics
- Corporate or Individual users
Pricing method
1-year or 3-year
system licensing fee
10k or 50k pcs
pay-as-you-go
Annually usage capacity
Unlimited
10k or 50k pcs of medical image
(e.g. DICOM)
AI computing location
On-site
In the cloud
Image upload
Automatically
Manually
Concurrent users
5
5
On-site server deployment
O
–
Integrate with PACS/RIS
O
–
System upgrade and maintenance
O
O
Hardware upgrade and maintenance
O
–
On-Premise
Deploy the AI computing server inside your own in-house IT infrastructure. The system can fully integrate into your existing PACS environment with unlimited usage capacity.
SUITABLE FOR:
- Referral Hospitals
- Academic Medical Centers
Pricing method
1-year or 3-year
system licensing fee
Annually usage capacity
Unlimited
AI computing location
On-site
Image upload
Automatically
Concurrent users
10
On-site server deployment
O
Integrate with PACS/RIS
O
System upgrade and maintenance
O
Hardware upgrade and maintenance
O
Cloud
The highly flexible pay-as-you-go cloud solution is suitable for lightweight users, easily scale up and down as and when needed.
SUITABLE FOR:
- Reginal Hospitals
- Local Community Health Center
- Local Physician Clinics
- Corporate or Individual users
Pricing method
10k or 50k pcs
pay-as-you-go
Annually usage capacity
10k or 50k pcs of medical image
(e.g. DICOM)
AI computing location
In the cloud
Image upload
Manually
Concurrent users
10
On-site server deployment
–
Integrate with PACS/RIS
–
System upgrade and maintenance
O
Hardware upgrade and maintenance
–
Media
Follow a manual added link
The Taiwanese medtech transforming healthcare
Taiwan’s rapidly cutting-edge medtech transform not only its own healthcare system but also the world’s.
September 28, 2021
Follow a manual added link
BEATING COVID-19
In the year 2020, COVID-19 terrorized the world. Only 7 people in Taiwan died from COVID. Why?
January 25, 2021
Follow a manual added link
Inside Taiwan’s Tech Industry – BBC Click
We look at how Taiwan is using artificial intelligence and machine learning in the medical field.
November 5, 2019
Publications
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Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements
JACC cardiovascular imaging ⎯ Nov. 2020
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Self-similarity Student for Partial Label Histopathology Image Segmentation
European Conference on Computer Vision (ECCV) ⎯ Nov. 2020
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Device-Agnostic AI Model for Brain Metastasis: Deep Active Learning over A Nationwide Population-based Medical Image Database
Radiological Society of North America (RSNA) ⎯ Oct. 2020
A world-class, human-oriented precision medical system constructed in Taiwan
TAIMedImg combines the cutting-edge image recognition technology developed by Taiwan AI Labs with the extraordinary clinical teams, learns to identify lesions from experienced professionals, speeds up the interpretation of medical images, improves the quality of medicine, and creates a world-class ” AI-assisted medical center”.
Media
Follow a manual added link
The Taiwanese medtech transforming healthcare
Taiwan’s rapidly cutting-edge medtech transform not only its own healthcare system but also the world’s.
September 28, 2021
Follow a manual added link
BEATING COVID-19
In the year 2020, COVID-19 terrorized the world. Only 7 people in Taiwan died from COVID. Why?
January 25, 2021
Follow a manual added link
Taiwan: Health And Artificial Intelligence
We look at how Taiwan is using artificial intelligence and machine learning in the medical field.
November 5, 2019
Publications
Follow a manual added link
Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements
JACC cardiovascular imaging
Follow a manual added link
Self-similarity Student for Partial Label Histopathology Image Segmentation
European Conference on Computer Vision (ECCV)
Follow a manual added link
