
Deep Learning Enhanced Medical Imaging
Current non-A.I enhanced imaging systems chooses higher noise images and longger reconstruction time in exchange of using lower doses of radiation. This is because younger patients especially kids have a higher risk when exposed to higher dose radiation.
With A.I, pre-trained Deep Learning Convolutional Network (DCNN) is possible which greatly reduces reconstruction speed and enable A.I based image noise reduction. This new technology means lower risk, faster processing and a more accurate level of diagnosis for medical professionals.
Dynamic Healthcare (Previously Dynamic Pharma) under Dynamic Group partnered with the best in medical imaging, Ready to provide hospitals and healthcare facilities with cutting edge machines to spec.
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Location: No. 432, Preah Monivong Boulevard, Phnom Penh 120101, Cambodia.
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Source
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Radiological Society of North America
High-Spatial-Resolution CT Offers New Opportunities for Discovery in the Lung - Radiological Society of North America
Deep Learning–based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations - Harvard Health Publishing, Radiation risk from medical imaging
- American Cancer Society