Automated iPhone audiogram image recognition has low accuracy
FRIDAY, Jan. 6, 2023 (HealthDay News) — iPhone’s automated phonogram image recognition has low accuracy, according to a research letter published online Jan. 5 in JAMA Otolaryngology, Head and Neck Surgery.
Janet S. Choi, MD, of the University of Minnesota in Minneapolis, and colleagues evaluated the accuracy of automatic iPhone audiogram image recognition using 500 randomly selected audiogram reports from a health system clinical audiological database representing various degrees of hearing loss.
The researchers found that the accuracy of the automatic audiogram image recognition was 7.0 and 11.8 percent for the right and left ears, respectively. For more than 80 percent of the ears, the feature was unable to detect appropriate thresholds for calculating pure tone averaging, prompting the user to manually enter audiogram data. When hearing was asymmetric, the accuracy was significantly higher (ORs, 2.26 and 2.27 for the right ear and left ear, respectively). Accuracy was not associated with the type or degree of hearing loss or the number of thresholds lost.
“Future efforts to improve the accuracy of automated audiogram image recognition will be required if this approach is used to personalize future over-the-counter hearing aids,” the authors wrote.
One of the authors disclosed financial ties to Apple and the regenerative medicine industry.
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