EarID

Anshuman Das, PhD, Deborah Chen, Zhifei Gei, and Sara Dolcetti (MIT)
Co.Create | 2017

EarID addresses challenges in diagnosis of ear infections by providing quantitative optical and anatomical information of the eardrum by integrating the conventional otoscope with a spectrometer and a structured illumination system. By using machine learning-based computation, the data may be used for remote diagnosis and therapeutic intervention.