AIMC Topic: Health Literacy

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Development of Methods to Assess Readability in Health and Medical Information: A Scoping Review.

Studies in health technology and informatics
This study aimed to extract characteristics of studies involving development of readability measures for health and medical information (HMI) to explore the common themes (strategies) within such developments. Four databases were searched following P...

Readability Assessment and Comparison of Large Language Model-Generated Summaries of Trial Descriptions on ClinicalTrials.gov.

Studies in health technology and informatics
This study evaluated the readability of ClinicalTrials.gov trial information using traditional readability measures (TRMs) and compared it to summaries generated by large language models (LLMs), specifically ChatGPT and a fine-tuned BART-Large-CNN (F...

Plain Language Adaptations of Biomedical Text Using LLMs: Comparision of Evaluation Metrics.

Studies in health technology and informatics
This study investigated the application of Large Language Models (LLMs) for simplifying biomedical texts to enhance health literacy. Using a public dataset, which included plain language adaptations of biomedical abstracts, we developed and evaluated...

Promoting patient health literacy in burn care through artificial intelligence language learning models: A study of text analysis and simplification.

Burns : journal of the International Society for Burn Injuries
Health literacy is essential in patient care, especially in burn treatment, where understanding care information can significantly influence recovery outcomes. Despite national guidelines recommending that patient education materials be written at a ...

Exploring mental health literacy on twitter: A machine learning approach.

Journal of affective disorders
OBJECTIVES: This study investigates whether reducing mental illness stigma, enhancing help-seeking efficacy, and maintaining positive mental health mediate the relationship between the recognition of mental disorders and help-seeking attitudes.

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

JMIR cancer
Digital health interventions offer promise for scalable and accessible health care, but access is still limited by some participatory challenges, especially for disadvantaged families facing limited health literacy, language barriers, low income, or ...

PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care.

European journal of radiology
BACKGROUND: The PRECISE framework, defined as Patient-Focused Radiology Reports with Enhanced Clarity and Informative Summaries for Effective Communication, leverages GPT-4 to create patient-friendly summaries of radiology reports at a sixth-grade re...

Bridging the gap: Evaluating ChatGPT-generated, personalized, patient-centered prostate biopsy reports.

American journal of clinical pathology
OBJECTIVE: The highly specialized language used in prostate biopsy pathology reports coupled with low rates of health literacy leave some patients unable to comprehend their medical information. Patients' use of online search engines can lead to misi...

Predicting health literacy in Brazil: a machine learning approach.

Health promotion international
Health literacy is essential for promoting well-being and the ability to make informed decisions. We investigated the level of health literacy in Brazil and identified the predictive factors that influence it. Our data contribute to the international...

The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study.

Journal of medical Internet research
BACKGROUND: People living with chronic diseases are increasingly seeking health information online. For individuals with diabetes, traditional educational materials often lack reliability and fail to engage or empower them effectively. Innovative app...