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Success Case

 

See What Our Customers Have Achieved With Our Platform

Our one-stop solution and intuitive interface allows customers to achieve more and better results faster

2024年7月11日

Significantly improve reporting efficiency for Pneumothorax patients

Once the AI identifies the presence of possible pneumothorax, an SMS notification will automatically sent out to an on-site clinical personnnel, significantly reducing the clinical response time and saving precious lives.

Significantly improve  reporting efficiency for Pneumothorax patients

2022年8月20日

Improving rib fracture detecting rate and enable physicians to provide more holistic treatment plans to patient

Missing a fracture in a radiograph often has severe consequences for patients, resulting in delayed treatment and poor recovery of function. In order to help emergency medicine clinicans reduce misdiagnosis, Y Hospital in the northern Taiwan has developed an AI model for detecting rib fractures.

Improving rib fracture detecting rate and enable physicians to provide more holistic treatment plans to patient

2022年8月19日

Safeguarding the medical quality of the hospital

Radiology technologists from Y hospital in the southern Taiwan developed an AI application with DeepQ AI platform that can detect potential discrepancy between the acquisition order and the actual scanned body part/view right after the X-ray image was taken.

Safeguarding the medical quality of the hospital

2022年8月18日

Outperformed previous method with 10% increase in accuracy

Z hospital in the northern Taiwan tested DeepQ AI platform on a mammography classifiaction training task and the results are impressive. With no data scientists and coding involved, the model trained by DeepQ AI platform exceeds that was done by AI engineers by 10% in accuracy.

Outperformed previous method with 10% increase in accuracy

2022年8月17日

Used by multiple departments to create AI models catering to different clinical needs

The DeepQ AI platform in Z hospital in the southern Taiwan serves multiple AI development topics with users from different departments, such as radiology, opthalmology, gastroenterology, dermatology, sleep medicine center...etc.

Used by multiple departments to create AI models catering to different clinical needs
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