AIMC Topic: Consumer Health Information
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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning.
Journal of biomedical semantics
May 6, 2025
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...
Online Health Information-Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study.
Journal of medical Internet research
Mar 31, 2025
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...
Transformer-Based Tool for Automated Fact-Checking of Online Health Information: Development Study.
JMIR infodemiology
Feb 21, 2025
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...
Assessing ChatGPT Responses to Frequently Asked Questions Regarding Pediatric Supracondylar Humerus Fractures.
Journal of pediatric orthopedics
Feb 7, 2025
BACKGROUND: The internet and standard search engines are commonly used resources for patients seeking medical information online. With the advancement and increasing usage of artificial intelligence (AI) in health information, online AI chatbots such...
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)
Feb 3, 2025
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
Jan 24, 2025
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...
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
Jan 8, 2025
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...
Identifying Topics Around Nicotine Gum: A Machine Learning Approach with Twitter Data.
Substance use & misuse
Nov 9, 2024
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
Oct 23, 2024
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.
Quality of Information About Kidney Stones from Artificial Intelligence Chatbots.
Journal of endourology
Jul 29, 2024
Kidney stones are common and morbid conditions in the general population with a rising incidence globally. Previous studies show substantial limitations of online sources of information regarding prevention and treatment. The objective of this study...
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