• 10th Gen Intel® Core™ processor platform with Intel® Q470 chipset

• PCIe x4 slot supports capture cards or other applications

• Compact edge device with great computing & graphics performance

• PCIe x16 slot supports NVIDIA GPU acceleration card

• Two 260-pin 2666/2133MHz Dual-Channel DDR4 SODIMM unbuffered Memory supported up to 128GB

● 13th Gen Intel® Core™ i5/ i7 processor

● Anti-bacteria housing with IP65 front bezel protection

● PCAP touch allows multi-touch, multi-layer gloves and water-on-screen operation

● Three hot-swappable batteries with a total runtime of 8 hours, ideal for non-powered medical carts

● AI-assisted Diagnostic Device for Diabetic Retinopathy is a leading product in the world. It assists diabetic retinopathy in referral classification, 5 retinopathy levels and symptom locations.  The sensitivity and accuracy are 98% and 96%, respectively.

● AI screening & Edge computing

1. Precision diagnosis - High-bending angles and precise tip motion

2. Single-use efficiency - Prevent cross contamination, eliminates reprocessing and repair costs

3. Connectivity options - Easy to transfer your recorded patient imaging to the EMR.

4. Rapid prototyping process

5. Flexible design

1.Use the DICOM Viewer of the original PACS to read CT series images without changing the current procedure.

2. Be able to detect the nodule size from 4mm (included) to 30mm (included) with high sensitivity and good specificity.

3. Assist physicians in identifying and marking the lung nodules on CT series of images.

4. Accelerate the physicians’ examination and interpretation procedure.

5. Increase the physicians’ diagnostics accuracy for discovering the nodules

6. Generate the detection report automatically and the same nodule growth comparison.

7. Provide ACR Lung-RADS score, management and risk of malignancy as well as Fleischner society guidelines.

8. Comply with DICOM protocol and connect to the hospital’s PACS  and HIS.

9. Create an environment for multi CT scanners and multi work stations for multi concurrent users.