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Consumer Health Information

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Online Health Information-Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study.

Journal of medical Internet research
BACKGROUND: As large language model (LLM)-based chatbots such as ChatGPT (OpenAI) grow in popularity, it is essential to understand their role in delivering online health information compared to other resources. These chatbots often generate inaccura...

Generative AI chatbots for reliable cancer information: Evaluating web-search, multilingual, and reference capabilities of emerging large language models.

European journal of cancer (Oxford, England : 1990)
Recent advancements in large language models (LLMs) enable real-time web search, improved referencing, and multilingual support, yet ensuring they provide safe health information remains crucial. This perspective evaluates seven publicly accessible L...

A Comparison of Prostate Cancer Screening Information Quality on Standard and Advanced Versions of ChatGPT, Google Gemini, and Microsoft Copilot: A Cross-Sectional Study.

American journal of health promotion : AJHP
PurposeArtificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibil...

Online content on eating disorders: a natural language processing study.

Journal of communication in healthcare
BACKGROUND: Online content can inform the personal risk of developing an eating disorder, and it can influence the time and motivation to seek treatment. Patients routinely seek information online, and access to information is crucial for both preven...

Identifying Topics Around Nicotine Gum: A Machine Learning Approach with Twitter Data.

Substance use & misuse
BACKGROUND: Nicotine gum products from brands like Lucy and Rogue are relatively new arrivals to the tobacco marketplace. While studies of correlates of nicotine gum use are in their nascent stage, data from social media can be used to stay abreast o...

Accuracy of natural language processors for patients seeking inguinal hernia information.

Surgical endoscopy
BACKGROUND: NLPs such as ChatGPT are novel sources of online healthcare information that are readily accessible and integrated into internet search tools. The accuracy of NLP-generated responses to health information questions is unknown.

Improving readability in AI-generated medical information on fragility fractures: the role of prompt wording on ChatGPT's responses.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
UNLABELLED: Understanding how the questions used when interacting with chatbots impact the readability of the generated text is essential for effective health communication. Using descriptive queries instead of just keywords during interaction with C...

Transformer-Based Tool for Automated Fact-Checking of Online Health Information: Development Study.

JMIR infodemiology
BACKGROUND: Many people seek health-related information online. The significance of reliable information became particularly evident due to the potential dangers of misinformation. Therefore, discerning true and reliable information from false inform...

Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning.

Journal of biomedical semantics
PURPOSE: Online consumer health forums offer an alternative source of health-related information for internet users seeking specific details that may not be readily available through articles or other one-way communication channels. However, the effe...

Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study.

Journal of medical Internet research
BACKGROUND: Online health information is widely available, but a substantial portion of it is inaccurate or misleading, including exaggerated, incomplete, or unverified claims. Such misinformation can significantly influence public health decisions a...