The research project aims to detect tympanic membrane and middle ear pathology and has entered the field testing phase. The first version of model training is complete, and we are now preparing for field tests to gather feedback and further refine our models. The approach involves image feature extraction techniques to enhance and classify images with an expected 70-80% accuracy. This feedback-driven process will allow us to improve the model’s performance continuously.

We have built the application and made it available through App Store Connect using the Test Flight feature. We anticipate completing this round of field testing within 30 days.

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