Copertina

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

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wen, Bo, Norel, Raquel, Liu, Julia, Stappenbeck, Thaddeus, Zulkernine, Farhana, Chen, Huamin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
di: Wen, Bo, et al.
Pubblicazione: (2025)

Survey: Transformer-based Models in Data Modality Conversion
di: Rashno, Elyas, et al.
Pubblicazione: (2024)

Toward Continuous Neurocognitive Monitoring: Integrating Speech AI with Relational Graph Transformers for Rare Neurological Diseases
di: Norel, Raquel, et al.
Pubblicazione: (2025)

SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
di: Eskandari, Amir, et al.
Pubblicazione: (2024)

ASMa: Asymmetric Spatio-temporal Masking for Skeleton Action Representation Learning
di: Anand, Aman, et al.
Pubblicazione: (2026)

Depth-Guided Self-Supervised Human Keypoint Detection via Cross-Modal Distillation
di: Anand, Aman, et al.
Pubblicazione: (2024)

Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data
di: Chen, Yuhao, et al.
Pubblicazione: (2024)

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models
di: Zhou, Rong, et al.
Pubblicazione: (2026)

Is There a Case for Conversation Optimized Tokenizers in Large Language Models?
di: Ferrando, Raquel, et al.
Pubblicazione: (2025)

Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits
di: Liu, Maoli, et al.
Pubblicazione: (2025)

Leveraging Large Language Model as Simulated Patients for Clinical Education
di: Li, Yanzeng, et al.
Pubblicazione: (2024)

Towards Explainable Conversational AI for Early Diagnosis with Large Language Models
di: Tabassum, Maliha, et al.
Pubblicazione: (2025)

Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
di: Bokstaller, Jonas, et al.
Pubblicazione: (2025)

PseudoAct: Leveraging Pseudocode Synthesis for Flexible Planning and Action Control in Large Language Model Agents
di: Yihan, et al.
Pubblicazione: (2026)

Multi Layered Autonomy and AI Ecologies in Robotic Art Installations
di: Chen, Baoyang, et al.
Pubblicazione: (2025)

Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care
di: Taylor, Niall, et al.
Pubblicazione: (2024)

Benchmarking Large Language Models for Personalized Guidance in AI-Enhanced Learning
di: Yuan, Bo, et al.
Pubblicazione: (2025)

Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
di: Chan, Samantha, et al.
Pubblicazione: (2024)

Leveraging Open-Source Large Language Models for encoding Social Determinants of Health using an Intelligent Router
di: Goel, Akul, et al.
Pubblicazione: (2024)

ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience
di: Bond, Yeana Lee, et al.
Pubblicazione: (2025)

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models
di: Jain, Swayambhoo, et al.
Pubblicazione: (2024)

Engagement-Driven Content Generation with Large Language Models
di: Coppolillo, Erica, et al.
Pubblicazione: (2024)

Multi-hop Reasoning and Retrieval in Embedding Space: Leveraging Large Language Models with Knowledge
di: Liu, Lihui
Pubblicazione: (2026)

Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning
di: Li, Yajie, et al.
Pubblicazione: (2025)

Digital Epidemiology: Leveraging Social Media for Insight into Epilepsy and Mental Health
di: Dahiya, Liza, et al.
Pubblicazione: (2024)

MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models
di: Xu, Dexuan, et al.
Pubblicazione: (2025)

FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records
di: Karami, Hojjat, et al.
Pubblicazione: (2026)

The First Place Solution of WSDM Cup 2024: Leveraging Large Language Models for Conversational Multi-Doc QA
di: Li, Yiming, et al.
Pubblicazione: (2024)

Large Language Models are Powerful Electronic Health Record Encoders
di: Hegselmann, Stefan, et al.
Pubblicazione: (2025)

Deployment and Evaluation of an EHR-integrated, Large Language Model-Powered Tool to Triage Surgical Patients
di: Wang, Jane, et al.
Pubblicazione: (2026)

Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
di: Kumar, Harsh, et al.
Pubblicazione: (2024)

Visual and Cognitive Demands of a Large Language Model-Powered In-vehicle Conversational Agent
di: Monk, Chris, et al.
Pubblicazione: (2026)

Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
di: Chen, Zixin, et al.
Pubblicazione: (2025)

Leveraging Language Models for Automated Patient Record Linkage
di: Beheshti, Mohammad, et al.
Pubblicazione: (2025)

Leveraging Large Language Models for Enhanced Process Model Comprehension
di: Kourani, Humam, et al.
Pubblicazione: (2024)

Leveraging Large Language Models for Entity Matching
di: Huang, Qianyu, et al.
Pubblicazione: (2024)

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
di: Wang, Bohao, et al.
Pubblicazione: (2024)

The Lattice Representation Hypothesis of Large Language Models
di: Xiong, Bo
Pubblicazione: (2026)

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis
di: Dong, Zhiang, et al.
Pubblicazione: (2025)

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
di: Kim, Junsol, et al.
Pubblicazione: (2023)