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20212025
most citedLeveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health

41 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025★ 1 cited

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery

Bo Wen, Chen Wang, Qiwei Han +4

The integration of voice-based AI agents in healthcare presents a transformative opportunity to bridge economic and accessibility gaps in digital health delivery. This paper explor…

cs.AI2024★ 41 cited

Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health

Bo Wen, Raquel Norel, Julia Liu +3

The rapid advancements in large language models (LLMs) have opened up new opportunities for transforming patient engagement in healthcare through conversational AI. This paper pres…

cs.CL2023★ 2 cited

Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description

Carla Agurto, Guillermo Cecchi, Bo Wen +4

Amyotrophic lateral sclerosis is a fatal disease that not only affects movement, speech, and breath but also cognition. Recent studies have focused on the use of language analysis…

cs.CL2022★ 1 cited

PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization

Shreyas Fadnavis, Amit Dhurandhar, Raquel Norel +6

Chronic pain is a pervasive disorder which is often very disabling and is associated with comorbidities such as depression and anxiety. Neuropathic Pain (NP) is a common sub-type w…

eess.AS2021

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale

Michael Neumann, Oliver Roesler, Jackson Liscombe +14

We propose a cloud-based multimodal dialog platform for the remote assessment and monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision, techno…