Research graph
References from Large language models support delivery of telemedicine in pharmacy: A cross-sectional study. Local targets link to admitted publications; unresolved targets remain external evidence.
Providing outpatient telehealth Services in the United States: Before and during coronavirus disease 2019
10.1016/j.chest.2020.11.020 · 2021 · External reference
Optimizing telehealth: leveraging key performance indicators for enhanced TeleHealth and digital healthcare outcomes (Telemechron Study)
10.3390/healthcare12131319 · 2024 · External reference
Revolutionizing healthcare: how telemedicine is improving patient outcomes and expanding access to care
2024 · External reference
Prevalence and disparities in telehealth use among US adults following the COVID-19 pandemic: National Cross-Sectional Survey
10.2196/52124 · 2024 · External reference
Telehealth pharmacist approach to comprehensive medication management in post-discharge high-risk patients: a quality improvement initiative
10.1089/tmj.2023.0239 · 2024 · External reference
Optimising health outcomes via pharmacist delivered telehealth medicines management: a systematic review
10.1002/jppr.1695 · 2020 · External reference
Exploring community pharmacists’ perception and readiness toward telepharmacy implementation in Jordan: a cross-sectional study
10.1089/tmj.2023.0264 · 2024 · External reference
An overview of the evolution and impact of chatbots in modern healthcare services
10.58496/mjaih/2023/014 · 2023 · External reference
The future landscape of large language models in medicine
10.1038/s43856-023-00370-1 · 2023 · External reference
Unlocking the potential of advanced large language models in medication review and reconciliation: a proof-of-concept investigation
2024 · External reference
Investigating the capabilities of advanced large language models in generating patient instructions and patient educational material
10.1136/ejhpharm-2024-004245 · 2025 · External reference
Performance and biases of large language models in public opinion simulation
10.1057/s41599-024-03609-x · 2024 · External reference
Large language models-powered clinical decision support: enhancing or replacing human expertise?
10.1016/j.imed.2025.01.001 · 2025 · External reference
Evaluating large language models and agents in healthcare: key challenges in clinical applications
10.1016/j.imed.2025.03.002 · 2025 · External reference
Large language models and empathy: systematic review
10.2196/52597 · 2024 · External reference
Emotional RAG: Enhancing role-playing agents through emotional retrieval
2024 · External reference
ELIZA—a computer program for the study of natural language communication between man and machine
10.1145/365153.365168 · 1966 · External reference
Guide for the efficient and safe delivery of telepharmacy
10.1016/j.hlpt.2024.100899 · 2024 · External reference
The urge for specific standards of telepharmacy services: lessons learned from qualitative study in Indonesian community pharmacies
2025 · External reference
Unresolved reference
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Evaluating large language models for drafting emergency department encounter summaries
10.1371/journal.pdig.0000899 · 2025 · External reference
Comparative analysis of prompt strategies for large language models: single-task vs. multitask prompts
10.3390/electronics13234712 · 2024 · External reference
Large language models in medicine: clinical applications, technical challenges, and ethical considerations
10.4258/hir.2025.31.2.114 · 2025 · External reference
Unresolved reference
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Unresolved reference
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Evaluating if Ghana's Health Institutions and Facilities Act 2011 (Act 829) sufficiently addresses medical negligence risks from integration of artificial intelligence systems
10.58496/mjaih/2024/006 · 2024 · External reference
The potential of ChatGPT in assisting children with down syndrome
10.1007/s10439-023-03281-3 · 2023 · External reference
Llm-ae-mp: web attack detection using a large language model with autoencoder and multilayer perceptron
10.1016/j.eswa.2025.126982 · 2025 · External reference
A systematic literature review on AI-based methods and challenges in detecting zero-day attacks
10.1109/access.2024.3455410 · 2024 · External reference
