Assessment of image quality for a medical diagnostics device
AssigneeAI Optics Inc.
InventorsBenjamin JJ Villard, Luke Michael Moretti, Andrew DiGiore, Sayed Mazdak Abulnaga
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AssigneeAI Optics Inc.
InventorsBenjamin JJ Villard, Luke Michael Moretti, Andrew DiGiore, Sayed Mazdak Abulnaga
Estimating the term…
A medical diagnostic system can assess quality of a representation of a body part determined based on a response of the body part to exposure to electromagnetic waves, process the representation with a disease detection machine learning model to determine a certainty measure for a presence of a disease, determine a quality score for the representation based on the quality of the representation and the certainty measure, and discard the at least one representation based on the quality score. Combining machine learning in conjunction with one another, such as, for quality assessment and disease detection, can provide for more accurate image quality analysis, lead to faster medical imaging, and reduce the need to retake images or entirely re-perform medical imaging. The system can be easier to use, be more robust and faster than other systems by reducing the need to retake images while maintaining performance of the system.
A retina camera comprising:
A medical diagnostics system comprising:
Dependencies are inferred from the claim text.