US 11,998,318 B2
System and method of using visually-descriptive words to diagnose ear pathology
Metin Gurcan, Winston-Salem, NC (US); and Aaron Moberly, Columbus, OH (US)
Assigned to Ohio State Innovation Foundation, Columbus, OH (US)
Filed by Ohio State Innovation Foundation, Columbus, OH (US)
Filed on Dec. 8, 2021, as Appl. No. 17/545,681.
Claims priority of provisional application 63/148,763, filed on Feb. 12, 2021.
Prior Publication US 2022/0257150 A1, Aug. 18, 2022
Int. Cl. A61B 5/12 (2006.01); A61B 5/00 (2006.01); G10L 15/08 (2006.01); G16H 50/20 (2018.01)
CPC A61B 5/126 (2013.01) [A61B 5/7264 (2013.01); G10L 15/08 (2013.01); G16H 50/20 (2018.01)] 21 Claims
OG exemplary drawing
 
1. 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.