Back to search

Article

A double-blind, crossover, non-inferiority randomized controlled trial where primary care providers and patients compare human- and AI-generated digital health messages: the AI-CARE study protocol

2025-12-22

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Primary care is facing multiple crises, including an increase in health misinformation. Digital health messaging by primary care providers has been shown to reach a diverse patient population. With the uptake of Generative Artificial Intelligence (GenAI) usage in healthcare, there is an important opportunity to rapidly create messages that are tailored to different populat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7d70825a-6e30-55e2-a177-7b0b473c0b5b
DOI
10.64898/2025.12.19.25341381
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A double-blind, crossover, non-inferiority randomized controlled trial where primary care providers and patients compare human- and AI-generated digital health messages: the AI-CARE study protocolDOI 10.64898/2025.12.19.25341381
Poetic or Prosaic? Evaluating the Linguistic Quality of AI-Generated Draft Replies to Patient Portal MessagesSemantic proximity
Bridging AI and Healthcare: A Scoping Review of Retrieval-Augmented Generation—Ethics, Bias, Transparency, Improvements, and ApplicationsSemantic proximity
Reproducible Generative AI Evaluation for Healthcare: A Clinician-in-the-Loop ApproachSemantic proximity
User evaluations of AI- and human-generated responses in digital health communication: A paired survey studySemantic proximity
Evidence Synthesis of the Ethical and Legal Challenges of Generative Artificial Intelligence in the Provision of Patient Health InformationSemantic proximity
Ambient AI in Primary Care: An Exploratory Mixed Methods Survey of UK General PractitionersSemantic proximity
Evaluating Five Generative AI Chatbots for Myocarditis-Related Public Health Consultation: A Multidimensional Assessment of Safety, Accuracy, Empathy, Reliability, Quality, and ReadabilitySemantic proximity
Generative Artificial Intelligence for Clinical Communication: Implications for Non-Pharmacological Interventions in Health CareSemantic proximity
Prototyping a Generative AI-powered Person-centered Digital Health Tool to Mitigate Risk of Preventable Adverse Drug EventsSemantic proximity
Evaluating Evidence-Based Communication through Generative AI using a Cross-Sectional Study with Laypeople Seeking Screening InformationSemantic proximity
Generative AI-powered simulated patients in medical and healthcare education: A scoping review and meta analysisSemantic proximity
Generative Artificial Intelligence in Medicine: A Mixed Methods Survey of UK General PractitionersSemantic proximity
Select a neighboring publication to make it the new centre.