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.

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.

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.

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.

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.