Remote medical examination
AssigneeCohi Group LLC
InventorCourtney Hill
Life of this patent
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Abstract
A platform, tips, and otoscope systems are described herein that can aid with evaluation of human ears (specifically children's ears), diagnose middle ear disease, and suggest appropriate treatments. The platform can serve as an end-to-end evaluation, treatment, and delivery of treatment to a user without requiring an office visit, and improves the accuracy of such systems and ease-of-use.
Claims20
A system for at-home imaging of a child's ear canal and diagnosis of middle ear disease, the system comprising:
- a light source configured to illuminate the ear canal;
- a camera configured to provide downward-and-forward facing images of the ear canal;
- an otoscope;
- and
- a web-based application configured to:
- receive the downward-and-forward facing images from the camera;
- output an insufficient image capture classification and a recommendation to consult with a healthcare provider when the received downward-and-forward facing images from the camera do not depict at least a portion of a tympanic membrane;
- autonomously capture the downward-and-forward facing images depicting at least a portion of the tympanic membrane;
- and
- autonomously classify the at least the portion of the tympanic membrane from the captured downward-and-forward facing images depicting the at least the portion of the tympanic membrane to indicate the status of the middle ear, the autonomous classification selected from a group consisting of:
- normal ear, middle ear fluid (“otitis media with effusion”), and middle ear infection (“acute otitis media”).
A system for at-home imaging of a child's ear canal and diagnosis of middle ear disease, the system comprising:
- a light source configured to illuminate the ear canal;
- a camera configured to provide downward-and-forward facing images of the ear canal;
- an otoscope;
- and
- a web-based application configured to:
- receive the downward-and-forward facing images from the camera;
- autonomously capture the downward-and-forward facing images depicting at least a portion of a tympanic membrane;
- and
- autonomously classify the at least portion of the tympanic membrane from the captured downward-and-forward facing images to indicate the status of the middle ear,
- wherein the web-based application comprises a machine learning software component that has been trained with images of the same resolution as the camera, and wherein the software has been trained with images that include a rim of an at-home otoscope tip.
A system comprising:
- a light source configured to illuminate an ear canal;
- a camera configured to provide downward-and-forward facing images of the ear canal;
- an otoscope;
- and
- a web-based application configured to:
- receive the downward-and-forward facing images from the camera;
- autonomously capture the downward-and-forward facing images depicting at least a portion of a tympanic membrane;
- and
- autonomously classify the at least portion of the tympanic membrane from the captured downward-and-forward facing images to indicate the status of the middle ear,
- wherein the web-based application comprises a machine learning software component that has been trained at least in part with:
- (i) one or more images of a tympanic membrane prior to a myringotomy, and (ii) one or more post-myringotomy surgical findings.
Dependencies are inferred from the claim text.