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Evaluating the Feasibility of Rolling out Universal Hearing Screening for Infants in India using Sohum, an Artificial Intelligence-driven Low Cost Innovative Diagnostic Solution

This prospective study was undertaken with an objective to measure agreement between Sohum, an artificial intelligence-driven low cost innovative diagnostic solution, and the conventional Brainstem Evoked Response Audiometry (BERA) on various parameters of diagnostic importance and to investigate feasibility of Sohum as a universal hearing screening modality in India for neonates and infants. Our results statistically validate that the waveform generated by Sohum is clinically at par with that generated using BERA. Moreover, Sohum smartly obviates existing challenges to universal hearing screening implementation in India such as huge infrastructural requirement, limited capacity of frontline health workers, and high costs of contemporary hearing screening modalities such as conventional BERA. Additionally, as implementation of Sohum scales up across geographies and diverse demographic segments, its artificial intelligence-driven diagnostic algorithm would progressively become more robust and efficient.


Arvind Vashishta Rinkoo, Anand Panjiyar, Dinesh Songara, Shivani Bhandari, Arnika Sharma, Meenakshi Pareek, Rajesh Ranjan Singh and Rakesh Kumar Srivastava

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