Back to results
US 11,998,318 B2Granted
System and method of using visually-descriptive words to diagnose ear pathology
AssigneeOhio State Innovation Foundation
InventorsMetin Gurcan, Aaron Moberly
Life of this patent
Estimating the term…
Abstract
Disclosed herein are systems and methods to detect a wide range of eardrum conditions by using visually-descriptive words of a tympanic membrane of a subject.
Claims21
A method of classifying tympanic membrane pathologies from descriptive words, comprising:
- receiving one or more descriptive words describing a condition of a tympanic membrane of a subject;
- and
- determining, by a computing device, using a model comprised of a plurality of tympanic membrane conditions and corresponding word clouds, wherein each word cloud is comprised of words most frequently associated with each one of the plurality of tympanic membrane conditions as determined by an artificial intelligence algorithm, a diagnosis of the tympanic membrane of the subject based on the received one or more descriptive words describing the condition of the tympanic membrane of the subject,
- wherein the model is developed by obtaining a plurality of images of tympanic membranes having the plurality of tympanic membrane conditions, forming a composite image of a tympanic membrane for each of the plurality of tympanic membrane conditions, having a specialist provide a descriptive report of each composite image and its corresponding tympanic membrane condition;
- and analyzing using the artificial intelligence algorithm each specialist descriptive report to determine the word cloud of words most frequently associated with the corresponding tympanic membrane image, and
- wherein one or more natural language processing (NLP) tools were used to preprocess each specialist descriptive report, said NLP tools comprising one or more of tokenization, stop word removal, word normalization, and punctuation erasing.
3 more elements
A system for classifying tympanic membrane pathologies from descriptive words, comprising:
- a device configured to view a tympanic membrane of a subject;
- and
- a processor in communication with a memory, wherein the memory contains computer-executable instructions that when executed by the processor cause the processor to:
- receive one or more descriptive words describing a condition of the tympanic membrane of a subject;
- and
- determine, using a model comprised of a plurality of tympanic membrane conditions and corresponding word clouds, wherein each word cloud is comprised of words most frequently associated with each one of the plurality of tympanic membrane conditions as determined by an artificial intelligence algorithm, a diagnosis of the tympanic membrane of the subject based on the received one or more descriptive words describing the condition of the tympanic membrane of the subject,
- wherein the model is developed by obtaining a plurality of images of tympanic membranes having the plurality of tympanic membrane conditions, forming a composite image of a tympanic membrane for each of the plurality of tympanic membrane conditions, having a specialist provide a descriptive report of each composite image and its corresponding tympanic membrane condition;
- and analyzing using the artificial intelligence algorithm each specialist descriptive report to determine the word cloud of words most frequently associated with the corresponding tympanic membrane image, and
- wherein one or more natural language processing (NLP) tools were used to preprocess each specialist descriptive report, said NLP tools comprising one or more of tokenization, stop word removal, word normalization, and punctuation erasing.
6 more elements
A non-transitory computer-program product comprising computer executable code sections stored on a computer-readable medium, said computer executable code sections for performing a method of classifying tympanic membrane pathologies from descriptive words, comprising:
- receiving one or more descriptive words describing a condition of a tympanic membrane of a subject;
- and
- determining, using a model comprised of a plurality of tympanic membrane conditions and corresponding word clouds, wherein each word cloud is comprised of words most frequently associated with each one of the plurality of tympanic membrane conditions as determined by an artificial intelligence algorithm, a diagnosis of the tympanic membrane of the subject based on the received one or more descriptive words describing the condition of the tympanic membrane of the subject,
- wherein the model is developed by obtaining a plurality of images of tympanic membranes having the plurality of tympanic membrane conditions, forming a composite image of a tympanic membrane for each of the plurality of tympanic membrane conditions, having a specialist provide a descriptive report of each composite image and its corresponding tympanic membrane condition;
- and analyzing using the artificial intelligence algorithm each specialist descriptive report to determine the word cloud of words most frequently associated with the corresponding tympanic membrane image, and
- wherein one or more natural language processing (NLP) tools were used to preprocess each specialist descriptive report, said NLP tools comprising one or more of tokenization, stop word removal, word normalization, and punctuation erasing.
3 more elements
Dependencies are inferred from the claim text.