NestNeuro: Leveraging Chatbots for Vocal Screening

Author(s)

Oliveira, Guilherme C. ; Pah, Nemuel D. ; Ngo, Quoc C. ; Papa, Joao P. ; Kumar, Dinesh

• Document type: Journal article
• Source: 2024 IEEE 37TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS 2024; v. N/A, p. 4-pg., 2024-01-01.

Abstract

This work proposes a chatbot architecture for screening Parkinson's disease (PD) using the Telegram platform. By leveraging large language models (LLMs) as agents, our chatbot can run the voice based screening inspections for computerassisted PD diagnosis. The chatbot guides users through vocal tests that analyze phonemes, a method based on the potential of vocal biomarkers to indicate PD. This innovation makes I'D screening more accessible and user-friendly, particularly in underserved regions, offering a cost-effective tool for early intervention and improved patient care. (AU)

• FAPESP's process: 19/07665-4 - Center for Artificial Intelligence
• Grantee: Fabio Gagliardi Cozman
• Support Opportunities: Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program
• FAPESP's process: 23/14197-2 - HIDE - HypomImia DetEction using lightweight architectures
• Grantee: João Paulo Papa
• Support Opportunities: Regular Research Grants
• FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
• Grantee: Francisco Louzada Neto
• Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC