Talk2Care: facilitating asynchronous patient-provider communication with large-language-model

Z Yang, X Xu, B Yao, S Zhang, E Rogers… - arXiv preprint arXiv …, 2023 - arxiv.org
Despite the plethora of telehealth applications to assist home-based older adults and
healthcare providers, basic messaging and phone calls are still the most common …

Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention

E Jo, Y Jeong, SH Park, DA Epstein… - Proceedings of the CHI …, 2024 - dl.acm.org
Recent large language models (LLMs) offer the potential to support public health monitoring
by facilitating health disclosure through open-ended conversations but rarely preserve the …

Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention

E Jo, DA Epstein, H Jung, YH Kim - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Recent large language models (LLMs) have advanced the quality of open-ended
conversations with chatbots. Although LLM-driven chatbots have the potential to support …

Healthcare copilot: Eliciting the power of general llms for medical consultation

Z Ren, Y Zhan, B Yu, L Ding, D Tao - arXiv preprint arXiv:2402.13408, 2024 - arxiv.org
The copilot framework, which aims to enhance and tailor large language models (LLMs) for
specific complex tasks without requiring fine-tuning, is gaining increasing attention from the …

Conversational health agents: A personalized llm-powered agent framework

M Abbasian, I Azimi, AM Rahmani, R Jain - arXiv preprint arXiv …, 2023 - arxiv.org
Conversational Health Agents (CHAs) are interactive systems designed to enhance
personal healthcare services by engaging in empathetic conversations and processing …

MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling

T Kim, S Bae, HA Kim, S Lee, H Hong, C Yang… - Proceedings of the CHI …, 2024 - dl.acm.org
Large Language Models (LLMs) offer promising opportunities in mental health domains,
although their inherent complexity and low controllability elicit concern regarding their …

Better to ask in English: Cross-lingual evaluation of large language models for healthcare queries

Y Jin, M Chandra, G Verma, Y Hu… - Proceedings of the …, 2024 - dl.acm.org
Large language models (LLMs) are transforming the ways the general public accesses and
consumes information. Their influence is particularly pronounced in pivotal sectors like …

Clinical camel: An open expert-level medical language model with dialogue-based knowledge encoding

A Toma, PR Lawler, J Ba, RG Krishnan… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) present immense potential in the medical field, yet
concerns over data privacy, regulatory compliance, and model stability restrict their …

Gpt-doctor: Customizing large language models for medical consultation

W Wang, Z Zhao, T Sun - arXiv preprint arXiv:2312.10225, 2023 - arxiv.org
The advent of Large Language Models (LLMs) has ushered in a new era for design science
in Information Systems, demanding a paradigm shift in tailoring LLMs design for business …

[HTML][HTML] Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge

Y Li, Z Li, K Zhang, R Dan, S Jiang, Y Zhang - Cureus, 2023 - ncbi.nlm.nih.gov
Objective The primary aim of this research was to address the limitations observed in the
medical knowledge of prevalent large language models (LLMs) such as ChatGPT, by …