41 citations
- Brown UniversityUS2 papers
- Cleveland ClinicUS1 paper
- Cornell UniversityUS1 paper
- East Carolina UniversityUS1 paper
- Emory UniversityUS1 paper
- Georgia Institute of TechnologyUS1 paper
- Georgia State UniversityUS1 paper
- Icahn School of Medicine at Mount SinaiUS1 paper
- Queen's UniversityCA1 paper
- Red Hat (United States)US1 paper
- Rutgers New Jersey Medical SchoolUS1 paper
- Rutgers, The State University of New JerseyUS1 paper
4 papers
Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI
Agnik Saha, Victoria Churchill, Anny D. Rodriguez +2
Effective communication about breast and cervical cancers remains a persistent health challenge, with significant gaps in public understanding of cancer prevention, screening, and…
Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings
Dong Han, Jihye Moon, Luís Roberto Mercado Díaz +6
Most deep learning models of multiclass arrhythmia classification are tested on fingertip photoplethysmographic (PPG) data, which has higher signal-to-noise ratios compared to smar…
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…
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
Sudeshna Das, Yao Ge, Yuting Guo +19
The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opi…