Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection - Vision paper

This paper proposes a novel pipeline for non-invasive diagnosis and monitoring in healthcare, leveraging artificial intelligence (AI). The pipeline allows individuals to record various health data using everyday devices and analyze it via AI algorithms on a cloud-based platform. Experimental results on voice disorder detection demonstrate the effectiveness of the proposed approach when compared to existing solutions. Additionally, we discuss the positive impact of the pipeline on diagnosis, prognosis, and monitoring, emphasizing its non-invasive nature. Overall, we think the proposed pipeline might contribute to advancing AI-driven healthcare solutions with implications for global healthcare delivery.