iPhone Automatic Audiogram Image Recognition Has Low Accuracy

FRIDAY, January 6, 2023 (HealthDay Information) — Automated audiogram picture recognition on iPhone has poor accuracy, in response to a analysis letter printed on-line Jan. JAMA Otolaryngology-Head and Neck Surgical procedure.

On the College of Minnesota in Minneapolis, Dr. Janet S. Choi and colleagues evaluated the accuracy of automated audiogram picture recognition on the iPhone utilizing 500 randomly chosen audiogram experiences from a healthcare system medical listening to database representing various levels of listening to loss.

The researchers discovered that the accuracy of automated audiogram picture recognition was 7.0 p.c and 11.8 p.c for the suitable and left ears, respectively. For greater than 80 p.c of the ears, the characteristic was unable to detect adequate thresholds to calculate the pure tone common and required the consumer to manually enter audiogram knowledge. When listening to was asymmetrical, accuracy was considerably larger (odds ratios 2.26 and a pair of.27 for the suitable ear and left ear, respectively). Accuracy kind was not related to diploma of listening to loss or lacking threshold quantity.

“Future efforts will likely be wanted to enhance the accuracy of automated audiogram picture recognition if this method is used for personalization of future over-the-counter listening to aids,” the authors write.

One creator disclosed monetary ties to Apple and the regenerative drugs trade.

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