AI-Driven Recognition and Optimized Wellness Application [AROWA]

The AROWA-Voice Assist Diagnostic AI is an advanced parallel leap in the development of healthcare diagnostics, employing Deep Learning (CNNs, RNNs) and Natural Language Processing (NLP) methods such as Transformers. With the utilization of text and voice inputs, the system provides diagnostic results through the analysis of patient queries, symptoms, and additional data such as laboratory results. AROWA is designed with an end-user interface that is easy to engage with, including for those with low technical skills. Experimental evaluations demonstrate AROWA achieves a better diagnostic accuracy rate than traditional conventional methods and significantly reduces misdiagnosis rates. This paper details the technical methodology, empirical findings, and broader implications of deploying AROWA in clinical settings.