AIMC Topic: Health Literacy

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Development and Validation of a Revised Multidimensional Digital Health Literacy Scale: Secondary Analysis Using Cross-Sectional Data From the 2022 GetCheckedOnline Community Survey In British Columbia, Canada.

Journal of medical Internet research
BACKGROUND: Digital technologies are reshaping health care, making digital health literacy (DHL) a critical competency for navigating online health information. Although widely conceived and measured as a unidimensional measure of DHL, the literature...

Evaluation of the readability, quality, and accuracy of AI chatbot responses to questions about deleterious oral habits.

BMC oral health
BACKGROUND: Artificial intelligence (AI)-based chatbots are increasingly used by parents as convenient and fast-access sources of information on health-related topics. This study aimed to assess the readability, accuracy and overall quality of respon...

Evaluating the Effectiveness of Generative AI for the Creation of Patient Education Materials on Coronary Heart Disease: A Comparative Study.

JMIR formative research
BACKGROUND: Generative artificial intelligence (AI) has shown great potential in various fields, including health care. However, its application for developing patient education materials (PEMs), particularly for those with coronary heart disease (CH...

Layperson-Friendly AI Translation of Medical Documents to Improve Doctor-Patient Communication: Protocols for the AI-INFOCARE and AI-MEDTALK Randomized Controlled Trials.

JMIR research protocols
BACKGROUND: Many patients struggle to understand referral letters and discharge summaries; low health literacy is prevalent, and short consultations limit explanations. Large language models (LLMs) can translate clinical jargon into layperson languag...

Using ChatGPT-4 for Lay Summarization in Prostate Cancer Research to Advance Patient-Centered Communication: Large-Scale Generative AI Performance Evaluation.

Journal of medical Internet research
BACKGROUND: The increasing volume and complexity of biomedical literature pose challenges for making scientific knowledge accessible to lay audiences. Lay summaries, now widely encouraged or required by journals, aim to bridge this gap by promoting h...

Utility and Limitations of Large Language Models to Simplify Online Content on Generalized Pustular Psoriasis.

Rhode Island medical journal (2013)
Online health information (OHI) in dermatology often exceeds the recommended sixth-grade reading level, hindering patient comprehension. This study aimed to assess the utility of three artificial intelligence large language models (LLMs) - ChatGPT-3....

Drivers of herpes zoster vaccine hesitancy in adults aged 50 and above: A machine learning approach.

Vaccine
BACKGROUND: Herpes zoster (HZ) poses a growing public health challenge among adults aged 50 and above, with vaccine hesitancy being a major barrier to improving immunization rates. Understanding the factors driving HZ vaccine hesitancy is essential f...

Evaluation of ChatGPT-4 responses on physical activity guidance in children with cystic fibrosis: reliability, quality, and readability.

European journal of pediatrics
UNLABELLED: ChatGPT-4 is a widely used large language model that provides instant answers to a variety of health-related questions in different medical fields. This study aims to evaluate the reliability, quality, accuracy, and readability of ChatGPT...

Crowdsourcing a Training Dataset of Question-and-Answer Pairs for AI-Enabled Health Information Tools on Sexually Transmitted Infections: Protocol for a Cross-Sectional Exploratory Survey Study.

JMIR research protocols
BACKGROUND: Sexually transmitted infections are a significant public health concern, particularly in sub-Saharan Africa, where their prevalence remains high. Promoting awareness and reducing stigma are essential strategies for addressing this challen...

Large language models in nephrology: applications and challenges in chronic kidney disease management.

Renal failure
Large language models (LLMs) represent a transformative advance in artificial intelligence, with growing potential to impact chronic kidney disease (CKD) management. CKD is a complex, highly prevalent condition requiring multifaceted care and substan...