![]() This time-consuming method also makes collaboration more complex because the recipient that receives a CD has to deal with understanding what type of files they have been given (DICOM or other proprietary file types) and also what, if any, software they received to view the 3-D image. Most companies and clinics still rely on the traditional data transfer methods such as burning to a CD and mailing the disk. Today, the healthcare industry is demanding a faster workflow between clinicians who need to review and discuss 3-D DICOM volumetric images. However, it has been challenging for them to quickly collaborate with colleagues, referrals and labs because no single platform handled both the transfer and the viewing of the data. Over the last 15 years, according to Anatomage, there has been a growing number of medical professionals utilizing 3-D medical images for treatment planning. The proprietary Anatomage Cloud 3D web viewer lets practitioners review the patient anatomy without spending any time installing software. One-click review differentiates Anatomage Cloud from basic DICOM sharing cloud services that only exchange data but provide no ability to instantly review patient anatomy or discuss the 3-D image. ![]() The image is reviewable from any computer with the proprietary, FDA approved Anatomage Cloud 3D web viewer that offers a suite of radiological tools. The updated Anatomage Cloud platform enables clinicians with a one-click review workflow which encompasses:ġ) Automatic 3-D volume preparation upon uploading DICOM dataĢ) Fast, secure delivery to a colleague or referral andģ) Volumetric image review in one-click with no software installation needed. Food and Drug Administration (FDA)-approved 3-D DICOM web viewer with new tools such as measurements, the ability to discuss cases with messaging, viewing of mesh file types such as STL and more. ![]() released an update to the Anatomage Cloud platform that allows medical and dental professionals to quickly send 3-D DICOM volumetric data to colleagues for one-click review. ![]()
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