IEEE NY WIE Day Webinar, June 25, 2026

IEEE NY WIE Day Webinar, June 25, 2026
From Conversational Signals to Cognitive Awareness:
Designing Non-Clinical AI Systems for Early Detection in Healthcare
This talk presents a novel approach to leveraging everyday conversational data for early cognitive awareness through non-clinical artificial intelligence systems. Unlike traditional diagnostic tools that rely on structured clinical testing, this work introduces a human-centered AI framework that analyzes linguistic and acoustic signals from natural speech interactions.
The speaker will introduce KinaBot, an AI system designed to extract cognitive indicators such as response latency, speech rhythm, and semantic richness, transforming them into longitudinal cognitive trend insights. The system emphasizes a baseline-relative modeling approach, enabling personalized tracking without requiring medical labeling or intrusive testing environments.
The talk will also discuss system architecture, real-world deployment considerations, and ethical design principles, including privacy-preserving “compute-and-discard” strategies. By bridging human-computer interaction, machine learning, and healthcare awareness, this work contributes a scalable paradigm for early cognitive insight that complements—but does not replace—clinical diagnosis.
Co-sponsored by: IEEE NY WIE and IEEE New York Section
Speaker(s): Minamoto,
Agenda:
6:00 – 6:10PM Welcome Remark – IEEE NY WIE Group Chair, Dr. Sarah H. Chung, IEEE WIE Ambassador,.
6:10 – 7:00PM Presentation: Ms. Aoi Minamoto
From Conversational Signals to Cognitive Awareness:
Designing Non-Clinical AI Systems for Early Detection in Healthcare
7:00 – 7:15PM Q/A
Virtual: https://events.vtools.ieee.org/m/561188