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Anterior Imaging Module (AIM)

Anterior Imaging Module (AIM) by Remidio

  • Price US$5,000.00
  • Supplier/s Remidio
  • Supplier Code AIM (IAPB)
  • Country of Origin India
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Product Description

Remidio Anterior Imaging Module (AIM) converts any ordinary slitlamp into a high quality digital slitlamp. Leveraging the myriad features of a smartphone, Remidio’s integrated high resolution optics ensure high quality images, without compromising on the depth of focus, allowing for high resolution imaging of the various layers of the anterior segment. Photo documentation and patient education cannot get any simpler than this.Remidio Anterior Imaging Module (AIM) is designed to work with most slitlamps with a minimum magnification of 3 steps and above. A simple attachment mechanism makes AIM easy to install.The ability to control the smartphone lens assembly for focus, correct color temperature of the light source, the depth of focus of the slitlamp, and Bluetooth trigger to focus on the eyepiece and not worry about the image captured on the smartphone.The AIM Patient Management App, together with the ability to store images on either a HIPAA compliant cloud server or a secure PACS server, enables traceability of the images taken on the module. The AIM app has unique AI ready features for algorithms that will be made available in future software upgrades.

Product Features

  • Digitize any slit lamp - designed to work on most slit lamps , with three or more steps of magnification
  • User need not confirm the segment being captured - the segment seen through the slit lamp eyepiece is what is captured.
  • Bluetooth Trigger - a completely wireless approach in clicking and capturing images seen through the slit lamp eyepiece. Unlike most of the similar technologies, the user need not take their eyes off the subject for making sure that what they see through the eye piece is what they get.
  • Tele-Ophthalmology Ready - The AIM app is cloud-connected, enabling remote review of images even on a smartphone, in a seamless workflow