AI for Dementia Healthcare

Aug 27, 2018

We aim to early detect and intervene dementia diseases leveraging the power of (Generative) AI.

Selected

Junyuan "Jason" Hong

Assistant Professor

My research interest lies in the interaction of responsible AI and healthcare.

Publications

GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing

We develop a chatbot for reminiscence therapy

Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan "Jason" Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu

GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing

A-CONECT: Designing AI-based Conversational Chatbot for Early Dementia Intervention

We develop a chatbot for early dementia prevention and leverage LLMs to build digital twins to evaluate chatbots.

Junyuan "Jason" Hong, Wenqing Zheng, Han Meng, Siqi Liang, Anqing Chen, Hiroko H. Dodge, Jiayu Zhou, Zhangyang Wang

A-CONECT: Designing AI-based Conversational Chatbot for Early Dementia Intervention

Federated Adversarial Debiasing for Fair and Transferable Representations

A distributed domain/group debiasing framework for unsupervised domain adaptation or fairness enhancement.

Junyuan "Jason" Hong, Zhuangdi Zhu, Shuyang Yu, Hiroko Dodge, Zhangyang Wang, Jiayu Zhou

Federated Adversarial Debiasing for Fair and Transferable Representations

Detecting MCI using real-time, ecologically valid data capture methodology: How to improve scientific rigor in digital biomarker analyses

Early identification and accurate assessment of Mild Cognitive Impairment (MCI) is critical for clinical-trial enrichment as well as …

Junyuan "Jason" Hong, Jeffrey Kaye, Hiroko H Dodge, Jiayu Zhou