# AVIVA Chatbot 2.0 integration for enhanced communication > **NIH NIH U01** · EMORY UNIVERSITY · 2024 · $115,052 ## Abstract Summary of Proposed Research This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA-24-039. The proposed research project builds on the AVIVA-AI: A Mentored Approach to Building Artificial Intelligence Capacity NOT-CA-22-036, a supplement of a parent U01 grant titled Community, Home-based Education, Screening Services (CHESS) U01 study which focuses on increasing HPV screening. AVIVA app has been extensively used for three years, among healthcare workers in 5 states in Nigeria to provide a higher-level expert review of VIA stained cervix visual image for improved screening diagnosis in the country, and its implementation process has been reported in BMC Global Health Journal. The app has assisted in improving diagnosis accuracy among the lower cadre of healthcare workers in lower-level facilities in Nigeria. The AIVIVA-AI supplemental research project (NOT-CA-22-03) focused on adding chatbot integration into the AVIVA application to improve awareness of cervical cancer screening modalities, follow-up, treatment, and behavioral change activities among WLWH and those who treat them. The study investigators, through this supplement, were able to build a local dataset of 130 unique questions and concerns of WLWH and virtual healthcare providers’ responses on cervical cancer services (CCS) and management and take the questions through a series of gynecological expert validation for response appropriateness and exhaustiveness. While the unique questions might be representative of the target population's opinions, questions, and concerns on CCS, if integrated directly into a simple AVIVA chatbot app, it will be limited in catering to the inherent variability in the individual writing style that might reflect in the way similar questions are asked by WLWH. This automatically affects the chatbot response efficiency when scaled up to a larger WLWH population. The generative AI-powered chatbot can handle complex inquiries without the need for human intervention. It has human-level creativity ability to generate ideas on a possible wide range of questions based on learnings from previously collected data and adapt to new situations to respond to inquiries of chatbot users. It detects patterns in large data sets and improves people’s and technology's overall efficiency. This proposed supplement will focus on training, evaluating, and integrating a customized large language models (LLMs) based question-answering generative AI engine into the existing AVIVA-AI chatbot app for improved efficiency. The mentee whose strength is in the cervical cancer program and epidemiological modeling, has identified international experts and resources to build a generative- AI model into the AVIVA-AI chatbot to improve the chatbot efficiency for future responsiveness and scalability. He will also be working with a Nigeria AI programmer to facilitate generative AI knowledge transfer across borders and train a conversational ... ## Key facts - **NIH application ID:** 11093819 - **Project number:** 3U01CA275113-03S1 - **Recipient organization:** EMORY UNIVERSITY - **Principal Investigator:** Olutosin Awolude - **Activity code:** U01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2024 - **Award amount:** $115,052 - **Award type:** 3 - **Project period:** 2022-09-01 → 2027-08-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/11093819 ## Citation > US National Institutes of Health, RePORTER application 11093819, AVIVA Chatbot 2.0 integration for enhanced communication (3U01CA275113-03S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/11093819. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*